NTIRE 2021

New Trends in Image Restoration and Enhancement workshop

and challenges on image and video processing

in conjunction with CVPR 2021

Sponsors (TBA)

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 restoration, enhancement and 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 the previous NTIRE editions: at CVPR 2017 , 2018 , 2019 , 2020 and at ACCV 2016 . Moreover, it relies on all the people associated with the CLIC 2018, 2019, 2020 , PIRM 2018 , AIM 2019 , 2020 and NTIRE events such as organizers, PC members, distinguished speakers, authors of published paper, challenge participants and winning teams.

Papers addressing topics related to image restoration, enhancement and manipulation 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.
  • Style transfer
  • Hyperspectral imaging
  • Underwater imaging
  • Methods robust to changing weather conditions / adverse outdoor conditions
  • Image/video restoration, enhancement, manipulation on constrained settings
  • Visual domain translation
  • Multimodal translation
  • Perceptual enhancement
  • Perceptual manipulation
  • Depth estimation
  • Image/video generation and hallucination
  • Image/video quality assessment
  • Image/video semantic segmentation, depth estimation
  • Aerial and satellite imaging restoration, enhancement, manipulation
  • Studies and applications of the above.

NTIRE 2021 has the following associated groups of challenges:

  • image challenges
  • video challenges

The authors of the top methods in each category will be invited to submit papers to NTIRE 2021 workshop.

The authors of the top methods will co-author the challenge reports.

The accepted NTIRE workshop papers will be published under the book title "CVPR 2021 Workshops" by

Computer Vision Foundation Open Access and IEEE Xplore Digital Library

For those with a keen interest on efficiency and deployment of solutions on mobile devices, we refer to the Mobile AI 2021 workshop and challenges co-organized at CVPR 2021.


Radu Timofte, radu.timofte@vision.ee.ethz.ch

Computer Vision Laboratory

ETH Zurich, Switzerland

Important dates

Challenges Event Date (always 5PM Pacific Time)
Site online December 22, 2020
Release of train data and validation data January 1, 2021
Validation server online January 5, 2021
Final test data release, validation server closed March 15, 2021
Test restoration results submission deadline March 20, 2021
Fact sheets, code/executable submission deadline March 20, 2021
Preliminary test results release to the participants March 22, 2021
Paper submission deadline for entries from the challenges April 2, 2021
Workshop Event Date (always 5PM Pacific Time)
Paper submission server online January 11, 2021
Paper submission deadline March 15, 2021 (EXTENDED)
Paper submission deadline (only for methods from NTIRE 2021 challenges or CVPR 2021 rejected papers!) April 2, 2021
Paper decision notification April 5, 2021
Camera ready deadline April 15, 2021
Workshop day (TBD) June 19, 2021


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 2021 submissions.

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 allowed with CVPR2021 main conference only. If a paper is submitted also to CVPR and accepted, the paper cannot be published both at the CVPR and the workshop.

Submission site



Accepted and presented papers will be published after the conference in CVPR Workshops proceedings together with the CVPR2021 main conference papers.

Author Kit

The author kit provides a LaTeX2e template for paper submissions. Please refer to the kit for detailed formatting instructions.


Organizers (TBU)

  • Radu Timofte, ETH Zurich,
  • Luc Van Gool, KU Leuven & ETH Zurich,
  • Ming-Hsuan Yang, University of California at Merced & Google,
  • Kyoung Mu Lee, Seoul National University,
  • Eli Shechtman, Creative Intelligence Lab at Adobe Research,
  • Martin Danelljan, ETH Zurich,
  • Shuhang Gu, OPPO & University of Sydney,
  • Seungjun Nah, Seoul National University,
  • Sanghyun Son, Seoul National University,
  • Suyoung Lee, Seoul National University,
  • Ruofan Zhou, EPFL,
  • Majed El Helou, EPFL,
  • Sabine Süsstrunk, EPFL,
  • Lei Zhang, Alibaba / Hong Konh Polytechnic University
  • Michael Brown, York University
  • Goutam Bhat, ETH Zurich
  • Chao Dong, SIAT
  • Cosmin Ancuti, UCL
  • Codruta Ancuti, University Politechnica Timisoara
  • Eduardo Perez Pellitero, Huawei Noah's Ark Lab
  • Ales Leonardis, Huawei Noah's Ark Lab & University of Birmingham
  • Oliver Nina, AF Research Lab
  • Abdullah Abuolaim, York University
  • Jimmy Ren, SenseTime
  • Andreas Lugmayr, ETH Zurich
  • Bob Lee, Wright Brothers Institute
  • Jinjin Gu, SNU
  • Ren Yang, ETH Zurich

PC Members (To Be Updated)

  • Cosmin Ancuti, UPT
  • Siavash Bigdeli, CSEM
  • Michael S. Brown, York University
  • Jianrui Cai, Hong Kong Polytechnic University
  • Chia-Ming Cheng, MediaTek
  • Cheng-Ming Chiang, MediaTek
  • Sunghyun Cho, POSTECH
  • Martin Danelljan, ETH Zurich
  • Chao Dong, SIAT
  • Weisheng Dong, Xidian University
  • Touradj Ebrahimi, EPFL
  • Majed El Helou, EPFL
  • Corneliu Florea, University Politechnica of Bucharest
  • Dario Fuoli, ETH Zurich
  • Peter Gehler, Amazon
  • Bastian Goldluecke, University of Konstanz
  • Shuhang Gu, ETH Zurich & University of Sydney
  • Zhe Hu, Hikvision Research
  • Zhiwu Huang, ETH Zurich
  • Andrey Ignatov, ETH Zurich
  • Phillip Isola, MIT
  • In So Kweon, KAIST
  • Christian Ledig, VideaHealth
  • Suyoung Lee, Seoul National University
  • Kyoung Mu Lee, Seoul National University
  • Seungyong Lee, POSTECH
  • Victor Lempitsky, Skoltech & Samsung
  • Liang Lin, Sun Yat-Sen University & DarkMatter AI
  • Ming-Yu Liu, NVIDIA Research
  • Hannan Lu, Harbin Institute of Technology
  • Vladimir Lukin, National Aerospace University
  • Roey Mechrez, BeyondMinds & Technion
  • Zibo Meng, OPPO
  • Yusuke Monno, Tokyo Institute of Technology
  • Seungjun Nah, Seoul National University
  • Hajime Nagahara, Osaka University
  • Vinay P. Namboodiri, IIT Kanpur
  • Evangelos Ntavelis, CSEM & ETH Zurich
  • Federico Perazzi, Adobe
  • Wenqi Ren, Chinese Academy of Sciences
  • Andres Romero, ETH Zurich
  • Aline Roumy, INRIA
  • Yoichi Sato, University of Tokyo
  • Nicu Sebe, University of Trento
  • Eli Shechtman, Creative Intelligence Lab at Adobe Research
  • Gregory Slabaugh, Huawei Noah's Ark Lab
  • Sanghyun Son, Seoul National University
  • Sabine Süsstrunk, EPFL
  • Yu-Wing Tai, HKUST
  • Hugues Talbot, Université Paris Est
  • Masayuki Tanaka, Tokyo Institute of Technology
  • Jean-Philippe Tarel, IFSTTAR
  • Radu Timofte, ETH Zurich
  • George Toderici, Google
  • Luc Van Gool, ETH Zurich & KU Leuven
  • Ting-Chun Wang, NVIDIA
  • Xintao Wang, The Chinese University of Hong Kong
  • Pengxu Wei, Sun Yat-Sen University
  • Feng Yang, Google
  • Ming-Hsuan Yang, University of California at Merced & Google
  • Ren Yang, ETH Zurich
  • Wenjun Zeng, Microsoft Research
  • Kai Zhang, ETH Zurich
  • Richard Zhang, UC Berkeley & Adobe Research
  • Ruofan Zhou, EPFL
  • Jun-Yan Zhu, Adobe Research & CMU
  • Wangmeng Zuo, Harbin Institute of Technology

Invited Talks (TBA)

Schedule (TBA)