17.June Seattle, US (hybrid)

NTIRE 2024

New Trends in Image Restoration and Enhancement workshop

and associated challenges

in conjunction with CVPR 2024
CVPR Virtual IMPORTANT DATES MAI2024 AIS2024 AIM2024

[CVPR registered participants] Join NTIRE 2024 workshop online Zoom for LIVE, talks, Q&A, interaction

The event starts 17.06.2024 at 8:00 PT / 15:00 UTC / 23:00 China time.
Check the NTIRE 2024 schedule.

NTIRE 2024 pre-recorded oral presentations and info


Sponsors

Call for papers

Image restoration, enhancement and manipulation are key computer vision tasks, aiming at the restoration of degraded image content, the filling in of missing information, or the needed transformation and/or manipulation to achieve a desired target (with respect to perceptual quality, contents, or performance of apps working on such images). Recent years have witnessed an increased interest from the vision and graphics communities in these fundamental topics of research. Not only has there been a constantly growing flow of related papers, but also substantial progress has been achieved.

Each step forward eases the use of images by people or computers for the fulfillment of further tasks, as image manipulation serves as an important frontend. Not surprisingly then, there is an ever growing range of applications in fields such as surveillance, the automotive industry, electronics, remote sensing, or medical image analysis etc. The emergence and ubiquitous use of mobile and wearable devices offer another fertile ground for additional applications and faster methods.

This workshop aims to provide an overview of the new trends and advances in those areas. Moreover, it will offer an opportunity for academic and industrial attendees to interact and explore collaborations.

This workshop builds upon the success of New Trends in Image Restoration and Enhancement (NTIRE) editions: at CVPR 2023 , 2022 , 2021, 2020 , 2019 , 2018 and 2017 and at ACCV 2016, Advances in Image Manipulation (AIM) workshop at ECCV 2022,ICCV 2021, ECCV 2020,ICCV 2019, Mobile AI (MAI) workshop at CVPR 2023 , 2022 , and 2021 , Perceptual Image Restoration and Manipulation (PIRM) workshop at ECCV 2018 , the workshop and Challenge on Learned Image Compression (CLIC) editions at CVPR 2018, CVPR 2019, CVPR 2020, CVPR 2021, CVPR 2022, DCC 2024. Moreover, it relies on the people associated with the PIRM, CLIC, MAI, AIM, and NTIRE events such as organizers, PC members, distinguished speakers, authors of published papers, challenge participants and winning teams.

Papers addressing topics related to image/video manipulation, restoration and enhancement are invited. The topics include, but are not limited to:

  • Image/video inpainting
  • Image/video deblurring
  • Image/video denoising
  • Image/video upsampling and super-resolution
  • Image/video filtering
  • Image/video de-hazing, de-raining, de-snowing, etc.
  • Demosaicing
  • Image/video compression
  • Removal of artifacts, shadows, glare and reflections, etc.
  • Image/video enhancement: brightening, color adjustment, sharpening, etc.
  • Hyperspectral image restoration, enhancement, manipulation
  • Underwater image restoration, enhancement, manipulation
  • Light field image restoration, enhancement, manipulation
  • Aerial and satellite image restoration, enhancement, manipulation
  • Methods robust to changing weather conditions / adverse outdoor conditions
  • Image/video manipulation on constrained settings/mobile devices
  • Image/video restoration and enhancement on constrained settings/mobile devices
  • Image-to-image translation
  • Video-to-video translation
  • Image/video manipulation
  • Perceptual manipulation
  • Style transfer
  • Image/video generation and hallucination
  • Image/video quality assessment
  • Image/video semantic segmentation
  • Perceptual enhancement
  • Multimodal translation
  • Depth estimation
  • Saliency and gaze estimation
  • Studies and applications of the above.

NTIRE 2024 challenges

One needs to check the corresponding competition page(s) in order to learn more about and to register to access the data and participate in the challenge(s) of interest.

AIS: Vision, Graphics and AI for Streaming 2024 challenges

Important dates (TBU)



Challenges Event Date (always 23:59 PT)
Site online January 17, 2024
Release of train data and validation data January 30, 2024
Validation server online February 5, 2024
Final test data release, validation server closed March 15, 2024 (EXTENDED)
Test phase submission deadline March 21, 2024 (EXTENDED)
Fact sheets, code/executable submission deadline March 22, 2024
Preliminary test results release to the participants March 24, 2024
Paper submission deadline for entries from the challenges April 5, 2024 (EXTENDED)
Workshop Event Date (always 23:59 PT)
Paper submission deadline March 17, 2024 (EXTENDED)
Paper submission deadline (only for methods from NTIRE 2024 challenges and papers reviewed elsewhere!) April 5, 2024 (EXTENDED)
Paper decision notification April 8, 2024
Camera ready deadline April 13, 2024
Workshop day June 17, 2024

Submit



Instructions and Policies
Format and paper length

A paper submission has to be in English, in pdf format, and at most 8 pages (excluding references) in double column. The paper format must follow the same guidelines as for all CVPR submissions.
https://cvpr.thecvf.com/Conferences/2024/AuthorGuidelines

Double-blind review policy

The review process is double blind. Authors do not know the names of the chair/reviewers of their papers. Reviewers do not know the names of the authors.

Dual submission policy

Dual submission is not allowed. If a paper is submitted also to CVPR and accepted, the paper cannot be published both at the CVPR and the workshop.

Submission site

https://cmt3.research.microsoft.com/NTIRE2024

Proceedings

Accepted and presented papers will be published after the conference in CVPR Workshops proceedings together with the CVPR2024 main conference papers.

Author Kit

https://github.com/cvpr-org/author-kit/archive/refs/tags/CVPR2024-v2.zip
The author kit provides a LaTeX2e template for paper submissions. Please refer to the kit for detailed formatting instructions.

People



Organizers (TBU)

  • Radu Timofte, University of Wurzburg,
  • Zongwei Wu, University of Wurzburg
  • Marcos V. Conde, University of Wurzburg,
  • Florin Vasluianu, University of Wurzburg
  • Ming-Hsuan Yang, University of California at Merced & Google
  • Kyoung Mu Lee, Seoul National University
  • Codruta Ancuti, University Politehnica Timisoara
  • Cosmin Ancuti, UCL
  • Ren Yang, Microsoft Research,
  • Yawei Li, ETH Zurich
  • Bin Ren, University of Trento
  • Nancy Mehta, University of Wurzburg
  • Zheng Chen, Shanghai Jiao Tong University
  • Yulun Zhang, ETH Zurich, Shanghai Jiao Tong University
  • Kai Zhang, ETH Zurich, Nanjing University
  • Longguang Wang, National University of Defense Technology
  • Yingqian Wang, National University of Defense Technology
  • Yulan Guo, National University of Defense Technology
  • Zhi Jin, Sun Yat-Sen University
  • Shuhang Gu, UESTC
  • Zhilu Zhang, Harbin Institute of Technology
  • Wangmeng Zuo, Harbin Institute of Technology
  • Nicolas Chahine, DXOMARK
  • Sira Ferradans, DXOMARK
  • Xiaohong Liu, Shanghai Jiao Tong University
  • Xin Li, University of Science and Technology of China
  • Kun Yuan, Kuaishou Technology
  • Zhibo Chen, University of Science and Technology of China
  • Jie Liang, The OPPO Research Institute
  • Lei Zhang, The Hong Kong Polytechnic University, The OPPO Research Institute
  • Xiaoning Liu, UESTC
  • Tom Bishop, GLASS Imaging
  • Fabio Tosi, University of Bologna
  • Pierluigi Zama Ramirez, University of Bologna
  • Luigi Di Stefano, University of Bologna
  • Egor Ershov, IITP RAS
  • Luc Van Gool, KU Leuven & ETH Zurich,




PC Members (TBU)

  • Mahmoud Afifi, Google
  • Timo Aila, NVIDIA
  • Codruta Ancuti, UPT
  • Boaz Arad, Ben-Gurion University of the Negev
  • Siavash Arjomand Bigdeli, DTU
  • Michael S. Brown, York University / Samsung AI Center
  • Jianrui Cai, The Hong Kong Polytechnic University
  • Chia-Ming Cheng, MediaTek
  • Cheng-Ming Chiang, MediaTek
  • Sunghyun Cho, Samsung
  • Marcos V. Conde, University of Wurzburg
  • Chao Dong, SIAT
  • Weisheng Dong, Xidian University
  • Touradj Ebrahimi, EPFL
  • Michael Elad, Technion
  • Paolo Favaro, University of Bern
  • Graham Finlayson, University of East Anglia
  • Corneliu Florea, University Politechnica of Bucharest
  • Alessandro Foi, Tampere University of Technology
  • Peter Gehler, Amazon
  • Bastian Goldluecke, University of Konstanz
  • Shuhang Gu, OPPO & University of Sydney
  • Yulan Guo, NUDT
  • Christine Guillemot, INRIA
  • Felix Heide, Princeton University & Algolux
  • Chiu Man Ho, OPPO,
  • Hiroto Honda, Mobility Technologies Co Ltd.
  • Andrey Ignatov, ETH Zurich
  • Eddy Ilg, Saarland University
  • Michal Irani, Weizmann Institute, Israel
  • Aggelos Katsaggelos, Northwestern University
  • Jean-Francois Lalonde, Université Laval
  • Christian Ledig, University of Bamberg
  • Seungyong Lee, POSTECH
  • Kyoung Mu Lee, Seoul National University
  • Juncheng Li, The Chinese University of Hong Kong
  • Yawei Li, ETH Zurich
  • Stephen Lin, Microsoft Research
  • Chen Change Loy, Chinese University of Hong Kong
  • Guo Lu, Shanghai Jiao Tong University
  • Vladimir Lukin, National Aerospace University, Ukraine
  • Kede Ma, City University of Hong Kong
  • Vasile Manta, Technical University of Iasi
  • Rafal Mantiuk, University of Cambridge
  • Zibo Meng, OPPO
  • Yusuke Monno, Tokyo Institute of Technology
  • Hajime Nagahara, Osaka University
  • Vinay P. Namboodiri, University of Bath/li>
  • Federico Perazzi, Bending Spoons
  • Fatih Porikli, Qualcomm CR&D
  • Rakesh Ranjan, Meta Reality Labs
  • Antonio Robles-Kelly, Deakin University
  • Aline Roumy, INRIA
  • Yoichi Sato, University of Tokyo
  • Christopher Schroers, DisneyResearch|Studios
  • Nicu Sebe, University of Trento
  • Eli Shechtman, Creative Intelligence Lab at Adobe Research
  • Gregory Slabaugh, Queen Mary University of London
  • Sabine Süsstrunk, EPFL
  • Robby T. Tan, Yale-NUS College
  • Masayuki Tanaka, Tokyo Institute of Technology
  • Hao Tang, ETH Zurich
  • Jean-Philippe Tarel, G. Eiffel University
  • Christian Theobalt, MPI Informatik
  • Qi Tian, Huawei Cloud & AI
  • Radu Timofte, University of Wurzburg
  • George Toderici, Google
  • Luc Van Gool, ETH Zurich & KU Leuven
  • Javier Vazquez-Coral, Autonomous University of Barcelona
  • Longguang Wang, NUDT
  • Xintao Wang, Tencent
  • Yingqian Wang, NUDT
  • Gordon Wetzstein, Stanford University
  • Ming-Hsuan Yang, University of California at Merced & Google
  • Ren Yang, ETH Zurich
  • Wenjun Zeng, Microsoft Research
  • Kai Zhang, ETH Zurich, Nanjing University
  • Yulun Zhang, ETH Zurich, Shanghai Jiao Tong University
  • Jun-Yan Zhu, Carnegie Mellon University
  • Wangmeng Zuo, Harbin Institute of Technology

Invited Talks



Taesung Park

REVE, Adobe

Title: Interactive Image Editing with Fast Generative Models

Abstract: While text-to-image generative models have shown great promises for visual content creation, they are still not widely used for editing your own photos in your photo album. We identify a few reasons behind this, including handling user-provided images, resolution, and speed, and discuss how distribution-matching methods can be a solution.

Bio: Taesung is a co-founder at Reve, focusing on visual content creation and editing. Before Reve, he was at Adobe Research. He received Ph.D. in Computer Science at UC Berkeley, advised by Prof. Alexei Efros. Previously he interned at Adobe, working with Richard Zhang, and at NVIDIA, working with Ming-Yu Liu. He received B.S. in Mathematics and M.S. in Computer Science, both at Stanford University.

Michael Niemeyer

Google

Title: Neural Representations for Real-time View Synthesis, 3D Asset Generation, and Beyond

Abstract: Neural representations such as Neural Radiance Fields have revolutionized 3D computer vision in recent years. While they achieve impressive results in tasks such as view synthesis or generative modeling, they are still only reluctantly used and integrated into larger-scale graphics, animation, or simulation software and products. Common reasons are slow and compute-intense inference and the reliance on ray-marching instead of following the more traditional rasterization pipeline that many modern compute devices are built for. In this talk, we first investigate the reconstruction use case: How can radiance field representations be transformed into point-based representations for robust real-time rendering? Next, we shift focus to the generative use case: We investigate how 3D assets can be generated purely from text prompts as well as how subject-driven reconstructions can be obtained from collections of images. Finally, we discuss some promising future research directions.

Bio: Michael is a research scientist working on 3D computer vision and generative modeling at Google Zurich. In 2022, he completed his PhD at the Max Planck Institute in Tuebingen supervised by Andreas Geiger. Michael's research focuses on view synthesis, 3D reconstruction, and generative modeling with applications in AR/VR, robotics, and 3D vision. His works on neural fields and neural rendering were selected to be among the most influential papers at CVPR 2019 and 2020, and he received the best paper award at CVPR 2021 for the GIRAFFE project.

Qifeng Chen

Hong Kong University of Science and Technology

Title: Video Generation and Editing in the Wild

Abstract: In this talk, I will discuss our work on video generation and editing in the open domain, including the open-source text-to-video models and various applications in video editing. I will also discuss how to generate videos and corresponding background sounds or music simultaneously, how to have consistent characters when generating videos from a script, and how to create user-controllable videos. In addition, I will share the challenges and opportunities encountered in video generation and editing projects.

Bio: Qifeng Chen is an assistant professor at the Hong Kong University of Science and Technology. He graduated from the Computer Science Department of Stanford University with a PhD degree and a bachelor's degree from the Hong Kong University of Science and Technology. His research interests mainly include AI-based image and video generation, computational photography, and autonomous driving. He was selected as one of "35 Innovators Under 35" in China by MIT Technology Review. For his innovative research in image enhancement, he received the Google Faculty Research Award. He has served as area chair for CVPR, NeurIPS, ACM Multimedia, and other conferences.

Schedule


All the accepted NTIRE workshop papers have poster presentation June 17, 16:00-18:00, Arch Building Exhibit Hall. A subset of the accepted NTIRE workshop papers have also oral presentation.

NTIRE 2024 pre-recorded oral presentations and info



All the accepted NTIRE workshop papers are published under the book title "2024 IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Workshops" by

Computer Vision Foundation Open Access and IEEE Xplore Digital Library



[15:00 UTC] 08:00
"NTIRE 2024: 9th Edition Overview and Awards"
Zongwei Wu ( University of Wurzburg )
 [slides]
[15:10 UTC] 08:10
Challenge Report:"Image Super-Resolution (x4)"
Zheng Chen et al.
[15:10 UTC] 08:10 NTIRE 2024 Challenge on Image Super-Resolution (×4): Methods and Results
Zheng Chen (Shanghai Jiao Tong University)*; Zongwei WU (University of Wurzburg); Eduard Sebastian Zamfir (University of Wurzburg); Kai Zhang (ETH, Zurich); Yulun Zhang (Shanghai Jiao Tong University); Radu Timofte (University of Wurzburg); Xiaokang Yang (Shanghai Jiao Tong University of China) et al.

[15:20 UTC] 08:20 HMANet: Hybrid Multi-Axis Aggregation Network for Image Super-Resolution
Shu-Chuan Chu (Shandong University of Science and Technology)*; dou zhichao (Shandong University of Science and Technology); Jeng-Shyang Pan (Nanjing University of Information Science and Technology); Shaowei Weng (Guangdong University of Technology); Junbao Li (Harbin Institute of Technology)

[15:25 UTC] 08:25 DRCT: Saving Image Super-Resolution away from Information Bottleneck
Chih-Chung Hsu (National Cheng Kung University); Chia-Ming Lee (National Cheng Kung University)*; Yi-Shiuan Chou ( National Cheng Kung University)


[15:30 UTC] 08:30
Challenge Report:"Stereo Image Super-Resolution"
Longguang Wang et al.
[15:30 UTC] 08:30 NTIRE 2024 Challenge on Stereo Image Super-Resolution: Methods and Results
Longguang Wang (National University of Defense Technology); Yulan Guo (National University of Defense Technology)*; Juncheng Li (Shanghai University); Hongda Liu (Sun Yat-sen university); Yang Zhao (Shanghai University); Yingqian Wang (National University of Defense Technology); Zhi Jin (Sun Yat-sen University); Shuhang Gu (University of Electronic Science and Technology of China); Radu Timofte (University of Wurzburg) et al.

[15:40 UTC] 08:40 Hybrid Cross-View Attention Network for Lightweight Stereo Image Super-Resolution
Yuqiang Yang (Xiaomi Inc.); Zhiming Zhang (Xiaomi Inc.); Yao Du (Xiaomi Inc.); Jingjing Yang (Xiaomi Inc.); 龙 鲍 (小米); Heng Sun (Xiaomi Inc)*

[15:45 UTC] 08:45 Cross-view Aggregation Network For Stereo Image Super-Resolution
Zhitao Chen (Wuhan Institute of Technology); Tao Lu (Wuhan Institute of Technology)*; kanghui zhao (Hubei Key Laboratory of Intelligent Robot, Wuhan Institute of Technology); Bolin Zhu (Wuhan Institute of Technology); Zhen Li (Wuhan Institute of Technology); Jiaming Wang (Wuhan Institute of Technology); Yanduo Zhang (Wuhan Institute of Technology)


[15:50 UTC] 08:50
Challenge Report:"HR Depth from Images of Specular and Transparent Surfaces"
Pierluigi Zama Ramirez et al.
[15:50 UTC] 08:50 NTIRE 2024 Challenge on HR Depth from Images of Specular and Transparent Surfaces
Pierluigi Zama Ramirez (University of Bologna)*; Fabio Tosi (University of Bologna); Luigi Di Stefano (University of Bologna); Radu Timofte (University of Wurzburg); Alex Costanzino (University of Bologna); Matteo Poggi (University of Bologna) et al.


[16:00 UTC] 09:00
Challenge Report:"Efficient Super Resolution"
Bin Ren et al.
[16:00 UTC] 09:00 The Ninth NTIRE 2024 Efficient Super-Resolution Challenge Report
Bin Ren (University of Trento)*; Yawei Li (ETH Zurich); Nancy Mehta (Universität Würzburg); Radu Timofte (University of Wurzburg) et al.

[16:10 UTC] 09:10 Swift Parameter-free Attention Network for Efficient Super-Resolution
Cheng Wan (Georgia Institute of Technology)*; Hongyuan Yu (Multimedia Department, Xiaomi Inc.); Zhiqi Li (Georgia Institute of Technology); Yihang Chen (Georgia Institute of Technology); Yajun Zou (Multimedia Department, Xiaomi Inc.); Yuqing Liu (Multimedia Department, Xiaomi Inc.); Xuanwu Yin (Multimedia Department, Xiaomi Inc.); Kunlong Zuo (Multimedia Department, Xiaomi Inc.)

[16:15 UTC] 09:15 Attention Guidance Distillation Network for Efficient Image Super-Resolution
Hongyuan Wang (Xinjiang University); Ziyan Wei (Xinjiang University); Qingting Tang (Xinjiang University); Shuli Cheng (Xinjiang University)*; Liejun Wang (Xinjiang University); Yongming Li (Xinjiang University)


[16:20 UTC] 09:20
Invited Talk: " Video Generation and Editing in the Wild "
Qifeng Chen (Hong Kong University of Science and Technology)
[16:50 UTC] 09:50
Challenge Report :" Light Field Image Super-Resolution"
Yingqian Wang et al.
[16:50 UTC] 09:50 NTIRE 2024 Challenge on Light Field Image Super-Resolution: Methods and Results
Yingqian Wang (National University of Defense Technology)*; Zhengyu Liang (National University of Denfense Technology); Qianyu Chen (NUDT); Longguang Wang (National University of Defense Technology); Jungang Yang (National University of Defense Technology); Radu Timofte (University of Wurzburg); Yulan Guo (National University of Defense Technology) et al.

[17:00 UTC] 10:00 BigEPIT: Scaling EPIT for Light Field Image Super-Resolution
Wentao Chao (Beijing Normal University); Yiming Kan (Beijing Normal University); Xuechun Wang (Beijing Normal University); Fuqing Duan (Beijing Normal University)*; Guanghui Wang (Toronto Metropolitan University)

[17:05 UTC] 10:05 LGFN: lightweight light field image super-resolution network using local convolution modulation and global attention feature extraction
Zhongxin Yu (Fujian Normal University); Liang Chen (Fujian Normal University)*; Zhiyun Zeng (Fujian Normal University); Kunping Yang (Fujian Normal University); Shaofei Luo (Fujian Normal University ); Shaorui Chen (Fujian Normal University ); cheng zhong (Fujian Normal University)


[17:10 UTC] 10:10
Challenge Report :" Dense and Non-Homogeneous Dehazing"
C. Ancuti et al.
[17:10 UTC] 10:10 NTIRE 2024 Dense and Non-Homogeneous Dehazing Challenge Report
Cosmin Ancuti (UCL)*; Codruta O Ancuti (University Politehnica Timisoara); Florin-Alexandru Vasluianu (Computer Vision Lab, University of Wurzburg); Radu Timofte (University of Wurzburg) et al.

[17:20 UTC] 10:20 SDCNet:Spatially-Adaptive Deformable Convolution Networks for HR NonHomogeneous Dehazing
Yidi Liu (University of Science and Technology of China); Xingbo Wang (USTC); Yurui Zhu (University of Science and Technology of China); Xueyang Fu (University of Science and Technology of China)*; Zheng-Jun Zha (University of Science and Technology of China)

[17:25 UTC] 10:25 DehazeDCT: Towards Effective Non-Homogeneous Dehazing via Deformable Convolutional Transformer
Wei Dong (McMaster University)*; Han Zhou (McMaster University); Ruiyi Wang (Shanghai Jiao Tong University); Xiaohong Liu (Shanghai Jiao Tong University); Guangtao Zhai (Shanghai Jiao Tong University); Jun Chen (McMaster University)


[17:30 UTC] 10:30
Challenge Report :" Bracketing Image Restoration and Enhancement"
Zhilu Zhang et al.
[17:30 UTC] 10:30 NTIRE 2024 Challenge on Bracketing Image Restoration and Enhancement: Datasets, Methods and Results
Zhilu Zhang (Harbin Institute of Technology)*; Shuohao Zhang (Harbin Institute of Technology); Renlong Wu (Harbin Institute of Technology ); Wangmeng Zuo (Harbin Institute of Technology, China); Radu Timofte (University of Wurzburg) et al.

[17:40 UTC] 10:40 High Quality Reference Feature for Two Stage Bracketing Image Restoration and Enhancement
Xiaoxia Xing (Samsung Research China - Beijing (SRC-B))*; Hyun Hee Park (Samsung Electronics Co., Ltd.); Fan Wang (Samsung Research China - Beijing (SRC-B)); Ying Zhang (Samsung Research China – Beijing (SRC-B)); Sejun Song (Samsung); Changho Kim (Samsung); xiangyu kong (Samsung Research China – Beijing (SRCB))

[17:45 UTC] 10:45 Learnable Global Spatio-Temporal Adaptive Aggregation for Bracketing Image Restoration and Enhancement
Xinwei Dai (Fuzhou University)*; Yuanbo Zhou (Fuzhou University); Xintao Qiu (Fuzhou University); Hui Tang (Fuzhou University); Wei Deng (Fuzhou University); Qinquan Gao (Fuzhou University); Tong Tong (College of Physics and Information Engineering, Fuzhou University, Fuzhou, China)


[17:50 UTC] 10:50
Challenge Report :" Shadow Removal"
Florin Vasluianu et al.
[17:50 UTC] 10:50 NTIRE 2024 Image Shadow Removal Challenge Report
Florin-Alexandru Vasluianu (Computer Vision Lab, University of Wurzburg)*; Tim Seizinger (University of Würzburg); Zhuyun Zhou (Univ. Bourgogne Franche-Comte, France); Zongwei WU (University of Wurzburg); Cailian Chen (Shanghai Jiao Tong University); Radu Timofte (University of Wurzburg) et al.

[18:00 UTC] 11:00 HirFormer: Dynamic High Resolution Transformer for Large-Scale Image Shadow Removal
Xin Lu (University of Science and Technology of China); Yurui Zhu (University of Science and Technology of China); Xi Wang (University of Science and Technology of China); Dong Li (University of Science and Technology of China); Jie Xiao (University of Science and Technology of China); Yunpeng Zhang (University of Science and Technology of China); Xueyang Fu (University of Science and Technology of China)*; Zheng-Jun Zha (University of Science and Technology of China)

[18:05 UTC] 11:05 Shadow Removal via Global Residual Free Unet and Shadow Generation
Dong Li (University of Science and Technology of China); Xin Lu (University of Science and Technology of China); Yurui Zhu (University of Science and Technology of China); Xi Wang (University of Science and Technology of China); Jie Xiao (University of Science and Technology of China); Yunpeng Zhang (University of Science and Technology of China); Xueyang Fu (University of Science and Technology of China)*; Zheng-Jun Zha (University of Science and Technology of China)


[18:10 UTC] 11:10
Challenge Report :" Restore Any Image Model (RAIM) in the Wild"
Jie Liang et al.
[18:10 UTC] 11:10 NTIRE 2024 Restore Any Image Model (RAIM) in the Wild Challenge
Jie Liang (OPPO Research Institute)*; Qiaosi Yi (The Hong Kong Polytechnic University); Shuaizheng Liu (The Hong Kong Polytechnic University); Lingchen Sun (The Hong Kong Polytechnic University); Rongyuan Wu (The Hong Kong Polytechnic University); Xindong Zhang (The Hong Kong Polytechnic University); Hui Zeng (OPPO); Radu Timofte (University of Wurzburg); Lei Zhang (Hong Kong Polytechnic University) et al.

[18:15 UTC] 11:20 Photo-Realistic Image Restoration in the Wild with Controlled Vision-Language Models
Ziwei Luo (Uppsala University)*; Fredrik K Gustafsson (Karolinska Institutet); Zheng Zhao (Uppsala University); Jens Sjölund (Uppsala University); Thomas B. Schön (Uppsala University)


[18:25 UTC] 11:25
Invited Talk: " Neural Representations for Real-time View Synthesis, 3D Asset Generation, and Beyond "
Michael Niemeyer (Google)
[slides]
[19:00 UTC] 12:00-13:00
Lunch Break
[20:00 UTC] 13:00
Invited Talk: " Interactive Image Editing with Fast Generative Models "
Taesung Park (REVE, Adobe)
[slides]
[20:30 UTC] 13:30
Challenge Report :" Low Light Enhancement"
Xiaoning Liu et al.
[20:30 UTC] 13:30 NTIRE 2024 Challenge on Low Light Image Enhancement: Methods and Results
Xiaoning Liu (University of Electronic Science and Technology of China)*; Zongwei WU (University of Wurzburg); Ao Li (University of Electronic Science and Technology of China); Florin-Alexandru Vasluianu (Computer Vision Lab, University of Wurzburg); Yulun Zhang (Shanghai Jiao Tong University); Shuhang Gu (University of Electronic Science and Technology of China); Le Zhang (University of Electronic Science and Technology of China); Ce Zhu (University of Electronic Science & Technology of China); Radu Timofte (University of Wurzburg) et al.

[20:30 UTC] 13:40 DiffLight: Integrating Content and Detail for Low-light Image Enhancement
Yixu Feng (Northwestern Polytechnical University)*; Shuo Hou (Northwestern Polytechnical University); Haotian Lin (Northwestern Polytechnical University); Yu Zhu (Northwestern Polytechnical University); Peng Wu ( Northwestern Polytechnical University); Wei Dong (Xi’an University of Architecture and Technology); Jinqiu Sun (Northwestern Polytechnical University); Yanning Zhang (Northwestern Polytechnical University); Qingsen Yan (Northwestern Polytechnical University)


[20:45 UTC] 13:45
Challenge Report :" Night Photography Rendering"
Nikola Banić et al.
[20:45 UTC] 13:45 NTIRE 2024 Challenge on Night Photography Rendering
Nikola Banić (Gideon Brothers)*; Egor Ershov (Institute for Information Transmission Problems, Russian Academy of Sciences); Artyom Panshin (IITP); Oleg Karasev (IITP); Sergey Korchagin (IITP); Shepelev Lev (IITP); Alexandr Startsev (IITP); Daniil Vladimirov (IITP); Ekaterina Zaychenkova (IITP); Dmitrii R Iarchuk (MIPT); Maria Efimova (IITP RAS); Radu Timofte (University of Wurzburg); Arseniy Terekhin (IITP) et al.


[20:55 UTC] 13:55
Challenge Report :" Blind Enhancement of Compressed Image"
Ren Yang et al.
[20:55 UTC] 13:55 NTIRE 2024 Challenge on Blind Enhancement of Compressed Image: Methods and Results
Ren Yang (Microsoft Research Asia)*; Radu Timofte (ETH Zurich) et al.

[21:05 UTC] 14:05 PromptCIR: Blind Compressed Image Restoration with Prompt Learning
Bingchen Li (Unversity of Science and Technology of China); Xin Li (University of Science and Technology of China); Yiting Lu (University of Science and Technology of China); Ruoyu Feng (University of Science and Technology of China); Mengxi China Guo (Bytedance Inc.); Shijie Zhao (Bytedance Inc.); Li Zhang (Bytedance Inc.); Zhibo Chen (University of Science and Technology of China)*


[21:10 UTC] 14:10
Challenge Report : " Portrait Quality Assessment"
Nicolas Chahine et al.
[21:10 UTC] 14:10 Deep Portrait Quality Assessment. A NTIRE 2024 Challenge Survey
Nicolas Chahine (DXOMARK); Marcos V. Conde (University of Würzburg & Sony PlayStation)*; Sira Ferradans (DXOMARK); Radu Timofte (University of Wurzburg) et al.

[21:20 UTC] 14:20 Dual-Branch Network for Portrait Image Quality Assessment
Wei Sun (Shanghai Jiao Tong Unviersity)*; Weixia Zhang (Shanghai Jiao Tong University); Yanwei Jiang (Shanghai Jiao Tong University); Haoning Wu (Nanyang Technological University); Zicheng Zhang (Shanghai Jiaotong university); Jun Jia (Shanghai Jiao Tong University); Yingjie Zhou (Shanghai Jiao Tong University); Zhongpeng Ji (Huawei); Xiongkuo Min (Shanghai Jiao Tong University); Weisi Lin (Nanyang Technological University, Singapore); Guangtao Zhai (Shanghai Jiao Tong University)


[21:25 UTC] 14:25
Challenge Report : " Quality Assessment for AI-Generated Content"
Xiaohong Liu et al.
[21:25 UTC] 14:25 NTIRE 2024 Quality Assessment of AI-Generated Content Challenges
Xiaohong Liu (Shanghai Jiao Tong University); Xiongkuo Min (Shanghai Jiao Tong University); Guangtao Zhai (Shanghai Jiao Tong University); Chunyi Li (Shanghai Jiao Tong University); Tengchuan Kou (Shanghai Jiao Tong University)*; Wei Sun (Shanghai Jiao Tong Unviersity); Haoning Wu (Nanyang Technological University); Yixuan Gao (Shanghai Jiao Tong University); Yuqin Cao (Shanghai Jiao Tong university); Zicheng Zhang (Shanghai Jiaotong university); Xiele Wu (Shanghai Jiao Tong University); Radu Timofte (University of Wurzburg) et al.

[21:35 UTC] 14:35 AIGC Image Quality Assessment via Image-Prompt Correspondence
Fei Peng (Beijing University of Posts and Telecommunications); Huiyuan Fu (Beijing University of Posts and Telecommunications)*; Anlong Ming (Beijing University of Posts and Telecommunications); Chuanming Wang (Beijing University of Posts and Telecommunications); Huadong Ma (Beijing University of Posts and Telecommunications); Shuai He (Beijing University of Posts and Telecommunications); Zifei Dou (Beijing Xiaomi Mobile Software Co., Ltd.); SHU CHEN (Beijing Xiaomi Mobile Software Co. Ltd.)

[21:40 UTC] 14:40 AIGC-VQA: A Holistic Perception Metric for AIGC Video Quality Assessment
Yiting Lu (University of Science and Technology of China); Xin Li (University of Science and Technology of China); Bingchen Li (Unversity of Science and Technology of China); Zihao Yu (University of Science and Technology of China); Fengbin Guan (University of Science and Technology of China); Xingrui Wang (University of Science and Technology of China); Ru-Ling Liao (Alibaba); Yan Ye (Alibaba Inc.); Zhibo Chen (University of Science and Technology of China)*


[21:45 UTC] 14:45
Challenge Report : " Short-term UGC Video Quality Assessment"
Xin Li et al.
[21:45 UTC] 14:45 NTIRE 2024 Challenge on Short-form UGC Video Quality Assessment: Methods and Results
Xin Li (University of Science and Technology of China)*; Kun Yuan (Kuaishou Technology); Yajing Pei (University of Science and Technology of China); Yiting Lu (University of Science and Technology of China); Ming Sun (Kuaishou Technology); Chao Zhou (Beijing Kuaishou Technology Co., Ltd); Zhibo Chen (University of Science and Technology of China); Radu Timofte (University of Wurzburg) et al.

[21:55 UTC] 14:55 Short-form UGC Video Quality Assessment Based on Multi-Level Video Fusion with Rank-Aware
Haoran Xu (Zhejiang University)*; Jie Zhou (Zhejiang University); Mengduo Yang (Zhejiang University); Jiaze Li (zhejiang university)

[22:00 UTC] 15:00 Enhancing Blind Video Quality Assessment with Rich Quality-aware Features
Wei Sun (Shanghai Jiao Tong Unviersity)*; Haoning Wu (Nanyang Technological University); Zicheng Zhang (Shanghai Jiaotong university); Jun Jia (Shanghai Jiao Tong University); Zhichao Zhang (Shanghai Jiao Tong University); Linhan Cao (Shanghai Jiao Tong University); Qiubo Chen (Xiaohongshu); Xiongkuo Min (Shanghai Jiao Tong University); Weisi Lin (Nanyang Technological University, Singapore); Guangtao Zhai (Shanghai Jiao Tong University)



[22:05 UTC] 15:05 Audio-Visual Speech Representation Expert for Enhanced Talking Face Video Generation and Evaluation
Dogucan Yaman (Karlsruhe Institute of Technology)*; Fevziye Irem Eyiokur (Karlsruhe Institute of Technology); Leonard Bärmann (Karlsruhe Institute of Technology (KIT)); Şeymanur Aktı (Karlsruhe Institute of Technology); HAZIM KEMAL EKENEL (Istanbul Technical University, Turkey); Alexander Waibel (Karlsruhe Institute of Technology (KIT))

[22:15 UTC] 15:15 Sketch-guided Image Inpainting with Partial Discrete Diffusion Process
Nakul Sharma (Indian Institute of Technology Jodhpur)*; Aditay Tripathi (Indian Institute of Science); Anirban Chakraborty (Indian Institute of Science); Anand Mishra (Indian Institute of Technology, Jodhpur)


[22:30 UTC] 15:25
Invited Talk: " Title "
Presenter
[23:00 UTC] 16:00-18:00
Poster Session (16:00-18:00), Arch Building Exhibit Hall

List of all NTIRE 2024 papers (& poster panel allocation)
papers (pdf, suppl. mat) available at https://openaccess.thecvf.com/CVPR2024_workshops/NTIRE

NTIRE 2024 pre-recorded oral presentations and info



Each paper has an poster panel # allocated in the evening poster session 16:00-18:00, Arch Building Exhibit Hall.
The posters should be placed at the beginning of the poster session and removed at the end.


(Poster Board #356, NTIRE ID2) S3R-Net: A Single-Stage Approach to Self-Supervised Shadow Removal
Nikolina Kubiak, Armin Mustafa, Graeme Phillipson, Stephen Jolly, Simon Hadfield
(Poster Board #357, NTIRE ID8) DCDR-UNet: Deformable Convolution Based Detail Restoration via U-shape Network for Single Image HDR Reconstruction
Joonsoo Kim, Zhe Zhu, Tien C Bau, Chenguang Liu
(Poster Board #358, NTIRE ID11) Image restoration refinement with Uformer GAN
Xu Ouyang, Ying Chen, Kaiyue Zhu, Gady Agam
(Poster Board #359, NTIRE ID15) Towards Real-world Video Face Restoration: A New Benchmark
Ziyan Chen, Jingwen He, Xinqi Lin, Chao Dong, Yu Qiao
(Poster Board #360, NTIRE ID16) Burst Image Super-Resolution with Base Frame Selection
Sanghyun Kim, Min Jung Lee, Woohyeok Kim, Deunsol Jung, Jaesung Rim, Sunghyun Cho, Minsu Cho
(Poster Board #361, NTIRE ID17) Multi-scale Attention Network for Single Image Super-Resolution
Yan Wang, Yusen Li, Wang Gang, Liu Xiaoguang
(Poster Board #362, NTIRE ID19) Semantic Pre-Supplement for Exposure Correction
Zhen Zou, Wei Yu, Jie Huang, Feng Zhao
(Poster Board #363, NTIRE ID20) Unsupervised Image Prior via Prompt Learning and CLIP Semantic Guidance for Low-Light Image Enhancement
Igor Morawski, Kai He, Shusil Dangi, Winston H. Hsu
(Poster Board #364, NTIRE ID21) Diffusion-Based Adaptation for Classification of Unknown Degraded Images
Dinesh Daultani, Masayuki Tanaka, Masatoshi Okutomi, Kazuki Endo
(Poster Board #365, NTIRE ID24) Reciprocal Attention Mixing Transformer for Lightweight Image Restoration
Haram Choi, Cheol Woong Na, Jihyeon Oh, Seungjae Lee, JinSeop JS Kim, Subeen Choe, Jeongmin Lee, Taehoon Kim, Jihoon Yang
(Poster Board #366, NTIRE ID26) Audio-Visual Speech Representation Expert for Enhanced Talking Face Video Generation and Evaluation
Dogucan Yaman, Fevziye Irem Eyiokur, Leonard Bärmann, Şeymanur Aktı, HAZIM KEMAL EKENEL, Alexander Waibel
(Poster Board #367, NTIRE ID33) Fourier Prior-Based Two-Stage Architecture for Image Restoration
Hemkant Nehete, Amit Monga, Brajesh K Kaushik
(Poster Board #368, NTIRE ID34) Sketch-guided Image Inpainting with Partial Discrete Diffusion Process
Nakul Sharma, Aditay Tripathi, Anirban Chakraborty, Anand Mishra
(Poster Board #369, NTIRE ID37) Towards Online Real-Time Memory-based Video Inpainting Transformers
Guillaume Thiry, Hao Tang, Radu Timofte, Luc Van Gool
(Poster Board #370, NTIRE ID38) Shadow Removal based on Diffusion, Segmentation and Super-resolution Models
Chenghua Li, Bo Yang, Zhiqi Wu, Gao Chen, Yihan Yu, Shengxiao Zhou
(Poster Board #371, NTIRE ID39) Hybrid Cross-View Attention Network for Lightweight Stereo Image Super-Resolution
Yuqiang Yang, Zhiming Zhang, Yao Du, Jingjing Yang, Long Bao, Heng Sun
(Poster Board #372, NTIRE ID40) IDENet: Implicit Degradation Estimation Network for Efficient Blind Super Resolution
Asif Hussain Khan, CHRISTIAN MICHELONI, Niki Martinel
(Poster Board #373, NTIRE ID41) ISSR-DIL: Image Specific Super-Resolution Using Deep Identity Learning
Sree Rama Vamsidhar S, Jayadeep D, Gorthi Rama Krishna Sai Subrahmanyam
(Poster Board #374, NTIRE ID42) CRNet: A Detail-Preserving Network for Unified Image Restoration and Enhancement Task
Kangzhen Yang, Kexin Dai, Genggeng Chen, Tao Hu , Yu Cao, Wei Dong, Peng Wu , Yanning Zhang , Qingsen Yan
(Poster Board #375, NTIRE ID43) Bracketing Image Restoration and Enhancement with High-Low Frequency Decomposition
Genggeng Chen, Kexin Dai, Kangzhen Yang, Tao Hu , Xiangyu Chen , Yongqing Yang,Wei Dong, Peng Wu , Yanning Zhang , Qingsen Yan
(Poster Board #376, NTIRE ID44) NTIRE 2024 Challenge on Image Super-Resolution (×4): Methods and Results
Zheng Chen, Zongwei Wu, Eduard Sebastian Zamfir, Kai Zhang, Yulun Zhang, Radu Timofte, Xiaokang Yang
(Poster Board #377, NTIRE ID45) DRCT: Saving Image Super-Resolution away from Information Bottleneck
Chih-Chung Hsu, Chia-Ming Lee, Yi-Shiuan Chou
(Poster Board #378, NTIRE ID46) DiffLight: Integrating Content and Detail for Low-light Image Enhancement
Yixu Feng, Shuo Hou, Haotian Lin, Yu Zhu, Peng Wu, Wei Dong, Jinqiu Sun, Yanning Zhang, Qingsen Yan
(Poster Board #379, NTIRE ID47) NTIRE 2024 Challenge on Bracketing Image Restoration and Enhancement: Datasets, Methods and Results
Zhilu Zhang, Shuohao Zhang, Renlong Wu, Wangmeng Zuo, Radu Timofte
(Poster Board #380, NTIRE ID48) PCQA: A Strong Baseline for AIGC Quality Assessment Based on Prompt Condition
Xi Fang, WEIGANG WANG, Xiaoxin Lv, Jun Yan
(Poster Board #381, NTIRE ID49) Virtually Enriched NYU Depth V2 Dataset for Monocular Depth Estimation: Do We Need Artificial Augmentation?
Dmitry Ignatov, Andrey Ignatov, Radu Timofte
(Poster Board #382, NTIRE ID50) BigEPIT: Scaling EPIT for Light Field Image Super-Resolution
Wentao Chao, Yiming Kan, Xuechun Wang , Fuqing Duan, Guanghui Wang
(Poster Board #383, NTIRE ID51) NTIRE 2024 Challenge on Stereo Image Super-Resolution: Methods and Results
Longguang Wang, Yulan Guo, Juncheng Li, Hongda Liu ,Yang Zhao ,Yingqian Wang, Zhi Jin, Shuhang Gu,Radu Timofte
(Poster Board #384, NTIRE ID52) ShadowRefiner: Towards Mask-free Shadow Removal via Fast Fourier Transformer
Wei Dong, Han Zhou, Yuqiong Tian, Jingke Sun, Xiaohong Liu, Guangtao Zhai, Jun Chen
(Poster Board #385, NTIRE ID53) NTIRE 2024 Challenge on Light Field Image Super-Resolution: Methods and Results
Yingqian Wang, Zhengyu Liang, Qianyu Chen, Longguang Wang, Jungang Yang, Radu Timofte, Yulan Guo
(Poster Board #386, NTIRE ID54) Learnable Global Spatio-Temporal Adaptive Aggregation for Bracketing Image Restoration and Enhancement
Xinwei Dai ,Yuanbo Zhou , Xintao Qiu , Hui Tang , Wei Deng , Qinquan Gao , Tong Tong
(Poster Board #387, NTIRE ID55) Swift Parameter-free Attention Network for Efficient Super-Resolution
Cheng Wan, Hongyuan Yu, Zhiqi Li, Yihang Chen, Yajun Zou,Yuqing Liu, Xuanwu Yin, Kunlong Zuo
(Poster Board #388, NTIRE ID60) HMANet: Hybrid Multi-Axis Aggregation Network for Image Super-Resolution
Shu-Chuan Chu, dou zhichao, Jeng-Shyang Pan , Shaowei Weng , Junbao Li
(Poster Board #389, NTIRE ID61) High Quality Reference Feature for Two Stage Bracketing Image Restoration and Enhancement
xiaoxia xing, Hyun Hee Park , Fan Wang , Ying Zhang, Sejun Song , Changho Kim, xiangyu kong
(Poster Board #390, NTIRE ID62) Efficient Light Field Image Super-Resolution via Progressive Disentangling
Gaosheng Liu, Huanjing Yue, Jingyu Yang
(Poster Board #391, NTIRE ID64) Attention Guidance Distillation Network for Efficient Image Super-Resolution
Hongyuan Wang, Ziyan Wei, Qingting Tang, Shuli Cheng, Liejun Wang, Yongming Li
(Poster Board #392, NTIRE ID65) Short-form UGC Video Quality Assessment Based on Multi-Level Video Fusion with Rank-Aware
Haoran Xu, Jie Zhou, Mengduo Yang, Jiaze Li
(Poster Board #393, NTIRE ID70) Shadow Removal via Global Residual Free Unet and Shadow Generation
Dong Li, Xin Lu, Yurui Zhu, Xi Wang, Jie Xiao, Yunpeng Zhang , Xueyang Fu,Zheng-Jun Zha
(Poster Board #394, NTIRE ID71) Large Kernel Frequency-enhanced Network for Efficient Single Image Super-Resolution
Jiadi Chen, Chunjiang Duanmu, Huanhuan Long
(Poster Board #395, NTIRE ID72) AIGIQA-20K: A Large Database for AI-Generated Image Quality Assessment
Chunyi Li, Tengchuan Kou, Yixuan Gao, Yuqin Cao, Wei Sun, Zicheng Zhang, Yingjie Zhou, Zhichao Zhang. Haoning Wu , Weixia Zhang, Xiaohong Liu ,Xiongkuo Min,Guangtao Zhai
(Poster Board #396, NTIRE ID73) NTIRE 2024 Quality Assessment of AI-Generated Content Challenge
Xiaohong Liu, Xiongkuo Min, Guangtao Zhai, Chunyi Li, Tengchuan Kou, Wei Sun, Haoning Wu, Yixuan Gao, Yuqin Cao, Zicheng Zhang ,Xiele Wu , Radu Timofte
(Poster Board #397, NTIRE ID75) Dformer: Learning Efficient Image Restoration with Perceptual Guidance
Nodirkhuja Khujaev, Roman Tsoy , S M A Sharif , Azamat Myrzabekov ,Seongwan Kim ,Lee Jaeho
(Poster Board #398, NTIRE ID76) Learning Optimized Low-Light Image Enhancement for Edge Vision Tasks
S M A Sharif, Azamat Myrzabekov, Nodirkhuja Khujaev, Roman Tsoy, Seongwan Kim, Lee Jaeho
(Poster Board #399, NTIRE ID77) AIGC-VQA: A Holistic Perception Metric for AIGC Video Quality Assessment
Yiting Lu , Xin Li , Bingchen Li, Zihao Yu , Fengbin Guan , Xingrui Wang , Ru-Ling Liao, Yan Ye, Zhibo Chen
(Poster Board #400, NTIRE ID78) MoE-AGIQA: Mixture-of-Experts Boosted Visual Perception-Driven and Semantic-Aware Quality Assessment for AI-Generated Images
Junfeng Yang, Jing Fu, wei zhang, Wenzhi Cao, Limei Liu, Han Peng
(Poster Board #401, NTIRE ID80) DehazeDCT: Towards Effective Non-Homogeneous Dehazing via Deformable Convolutional Transformer
Wei Dong , Han Zhou , Ruiyi Wang, Xiaohong Liu, Guangtao Zhai, Jun Chen
(Poster Board #402, NTIRE ID82) NTIRE 2024 Challenge on Short-form UGC Video Quality Assessment: Methods and Results
Xin Li , Kun Yuan , Yajing Pei , Yiting Lu , Ming Sun , Chao Zhou, Zhibo Chen , Radu Timofte
(Poster Board #403, NTIRE ID84) Enhancing Blind Video Quality Assessment with Rich Quality-aware Features
Wei Sun, Haoning Wu, Zicheng Zhang, Jun Jia, Zhichao Zhang , Linhan Cao , Qiubo Chen, Xiongkuo Min , Weisi Lin, Guangtao Zhai
(Poster Board #404, NTIRE ID86) AIGC Image Quality Assessment via Image-Prompt Correspondence
Fei Peng , Huiyuan Fu , Anlong Ming , Chuanming Wang , Huadong Ma , Shuai He , Zifei Dou, SHU CHEN
(Poster Board #405, NTIRE ID90) Dual-Branch Network for Portrait Image Quality Assessment
Wei Sun , Weixia Zhang , Yanwei Jiang , Haoning Wu, Zicheng Zhang, Jun Jia , Yingjie Zhou , Zhongpeng Ji , Xiongkuo Min , Weisi Lin, Guangtao Zhai
(Poster Board #406, NTIRE ID91) PromptCIR: Blind Compressed Image Restoration with Prompt Learning
Bingchen Li , Xin Li , Yiting Lu , Ruoyu Feng , Mengxi China Guo , Shijie Zhao , Li Zhang , Zhibo Chen
(Poster Board #407, NTIRE ID92) NTIRE 2024 Dense and Non-Homogeneous Dehazing Challenge Report
Cosmin Ancuti, Codruta O Ancuti, Florin-Alexandru Vasluianu, Radu Timofte
(Poster Board #408, NTIRE ID93) Cross-view Aggregation Network For Stereo Image Super-Resolution
Zhitao Chen, Tao Lu, kanghui zhao, Bolin Zhu, Zhen Li, Jiaming Wang, Yanduo Zhang
(Poster Board #409, NTIRE ID94) RBSFormer: Enhanced Transformer Network for Raw Image Super-Resolution
Siyuan Jiang , Senyan Xu , Xing-Fu Wang
(Poster Board #410, NTIRE ID95) Multi-Level Feature Fusion Network for Lightweight Stereo Image Super-Resolution
Yunxiang Li , Wenbin Zou, Qiaomu Wei , Feng Huang , Jing Wu
(Poster Board #411, NTIRE ID96) NTIRE 2024 Challenge on HR Depth from Images of Specular and Transparent Surfaces
Pierluigi Zama Ramirez , Fabio Tosi , Luigi Di Stefano , Radu Timofte, Alex Costanzino , Matteo Poggi
(Poster Board #412, NTIRE ID98) HirFormer: Dynamic High Resolution Transformer for Large-Scale Image Shadow Removal
Xin Lu , Yurui Zhu , Xi Wang , Dong Li , Jie Xiao , Yunpeng Zhang , Xueyang Fu , Zheng-Jun Zha
(Poster Board #413, NTIRE ID99) NTIRE 2024 Challenge on Blind Enhancement of Compressed Image: Methods and Results
Ren Yang, Radu Timofte
(Poster Board #414, NTIRE ID100) DVMSR: Distillated Vision Mamba for Efficient Super-Resolution
xiaoyan lei, weifeng cao, Wenlong Zhang
(Poster Board #415, NTIRE ID101) NTIRE 2024 Image Shadow Removal Challenge Report
Florin-Alexandru Vasluianu, Tim Seizinger, Zhuyun Zhou, Zongwei Wu, Cailian Chen , Radu Timofte
(Poster Board #416, NTIRE ID102) NTIRE 2024 Challenge on Low Light Image Enhancement: Methods and Results
Xiaoning Liu, Zongwei Wu, Ao Li , Florin-Alexandru Vasluianu, Yulun Zhang , Shuhang Gu , Le Zhang , Ce Zhu, Radu Timofte
(Poster Board #417, NTIRE ID103) The Ninth NTIRE 2024 Efficient Super-Resolution Challenge Report
Bin Ren, Yawei Li, Nancy Mehta, Radu Timofte
(Poster Board #418, NTIRE ID104) NTIRE 2024 Restore Any Image Model (RAIM) in the Wild Challenge
Jie Liang, Qiaosi Yi, Shuaizheng Liu, Lingchen Sun, Rongyuan Wu, Xindong Zhang, Hui Zeng, Radu Timofte, Lei Zhang
(Poster Board #419, NTIRE ID105) Photo-Realistic Image Restoration in the Wild with Controlled Vision-Language Models
Ziwei Luo, Fredrik K Gustafsson, Zheng Zhao , Jens Sjölund , Thomas B. Schön
(Poster Board #420, NTIRE ID106) Exploring AIGC Video Quality: A Focus on Visual Harmony, Video-Text Consistency and Domain Distribution Gap
Bowen Qu, Liang Xiaoyu, Shangkun Sun, Wei Gao
(Poster Board #421, NTIRE ID109) Training Transformer Models by Wavelet Losses Improves Quantitative and Visual Performance in Single Image Super-Resolution
Cansu Korkmaz, A. Murat Tekalp
(Poster Board #422, NTIRE ID113) Equipping Diffusion Models with Differentiable Spatial Entropy for Low-Light Image Enhancement
Wenyi Lian , Wenjing Lian, Ziwei Luo
(Poster Board #423, NTIRE ID115) SDCNet:Spatially-Adaptive Deformable Convolution Networks for HR NonHomogeneous Dehazing
Yidi Liu , Xingbo Wang , Yurui Zhu , Xueyang Fu , Zheng-Jun Zha
(Poster Board #424, NTIRE ID116) SF-IQA: Quality and Similarity Integration for AI Generated Image Quality Assessment
Zihao Yu , Fengbin Guan , Yiting Lu , Xin Li , Zhibo Chen
(Poster Board #425, NTIRE ID117) NTIRE 2024 Challenge on Night Photography Rendering
Nikola Banić, Egor Ershov, Artyom Panshin, Oleg Karasev, Sergey Korchagin , Shepelev Lev , Alexandr Startsev , Daniil Vladimirov , Ekaterina Zaychenkova , Dmitrii R Iarchuk, Maria Efimova , Radu Timofte, Arseniy Terekhin
(Poster Board #426, NTIRE ID118) LGFN: lightweight light field image super-resolution network using local convolution modulation and global attention feature extraction
Zhongxin Yu , Liang Chen , Zhiyun Zeng , Kunping Yang , Shaofei Luo, Shaorui Chen, cheng zhong
(Poster Board #427, NTIRE ID122) Serial Dehazing Framework for NonHomogeneous Dehazing
Wei Song , Yichang Gao , Jiahao Xiong , Hualiang Lin , Xianger Li , Dong Li
(Poster Board #428, NTIRE ID123) Deep Portrait Quality Assessment. A NTIRE 2024 Challenge Survey
Nicolas Chahine, Marcos V. Conde, Sira Ferradans, Radu Timofte
(Poster Board #429, NTIRE ID124) Deep RAW Image Super-Resolution. A NTIRE 2024 Challenge Survey
Marcos V. Conde, Florin-Alexandru Vasluianu, Radu Timofte


papers (pdf, suppl. mat) available at https://openaccess.thecvf.com/CVPR2024_workshops/NTIRE
NTIRE 2024 pre-recorded oral presentations and info

NTIRE 2024 Award Certificates

Contact:

Radu Timofte, radu.timofte@uni-wuerzburg.de

Computer Vision Laboratory, University of Wurzburg, Germany