February 23rd, 2021 
Daniela Lopez de Luise CALL FOR PAPERS & CALL FOR PARTICIPANTS IN 11 CHALLENGES
NTIRE: 6th New Trends in Image Restoration and Enhancement workshop and challenges on
defocus, deblurring, super-resolution, learning SR space, nonhomogeneous dehazing, image quality assessment, relighting, aerial image classification, enhancement of compressed videos, HDR
In conjunction with CVPR 2021, June 15, Nashville, USA (VIRTUAL).
In conjunction with CVPR 2021, June 15, Nashville, USA (VIRTUAL).
TOPICS
● 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
● Image/video processing on mobile devices
● Visual domain translation
● Multimodal translation
● Perceptual enhancement
● Perceptual manipulation
● 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
● Image/video processing on mobile devices
● 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
● Studies and applications of the above.
● Image/video quality assessment
● Image/video semantic segmentation, depth estimation
● Studies and applications of the above.
SUBMISSION
A paper submission has to be in English, in pdf format, and at most 8 pages (excluding references) in CVPR style.
http://cvpr2021.thecvf.com/node/33
The review process is double blind.
Accepted and presented papers will be published after the conference in the CVPR 2021 Workshops Proceedings.
Author Kit: http://cvpr2021.thecvf.com/sites/default/files/2020-09/cvpr2021AuthorKit_2.zip
Submission site: https://cmt3.research.microsoft.com/NTIRE2021
WORKSHOP DATES
● Regular Papers Submission Deadline: March 05, 2021
● Challenge Papers Submission Deadline: April 02, 2021
IMAGE CHALLENGES
- Defocus Deblurring using Dual-Pixel Images
- Depth Guided Relighting (one-to-one and any-to-any)
- Perceptual Image Quality Assessment
- Deblurring (low resolution and JPEG artifacts)
- Multi-model Aerial View Classification (SAR and EO)
- Learning the Super-Resolution Space
- Nonhomogeneous Dehazing
VIDEO / MULTI-FRAME CHALLENGES
- Enhancement of Compressed Videos (fixed bit-rate and fixed QP)
- Super-Resolution (Spatial and Spatio-Temporal)
- Burst Super-Resolution (Real and Synthetic)
- High Dynamic Range (HDR)
To learn more about the challenges, to participate in the challenges, and to access the data everybody is invited to check the NTIRE 2021 web page:
For those interested in constrained and efficient solutions validated on mobile devices we refer to the CVPR21 Mobile AI Workshop and Challenges:
CHALLENGES DATES
● Release of train data: January 10, 2020
● Competitions end: March 20, 2020
● Competitions end: March 20, 2020
ORGANIZERS
● Radu Timofte, ETH Zurich
● Shuhang Gu, OPPO & University of Sydney
● Kyoung Mu Lee, Seoul National University
● Michael S. Brown, York University
● Andreas Lugmayr, ETH Zurich
● Shuhang Gu, OPPO & University of Sydney
● Kyoung Mu Lee, Seoul National University
● Michael S. Brown, York University
● Andreas Lugmayr, ETH Zurich
● Goutam Bhat, ETH Zurich
● Martin Danelljan, ETH Zurich
● Cosmin Ancuti, Université catholique de Louvain (UCL)
● Codruta O. Ancuti, University Politehnica Timisoara
● Cosmin Ancuti, Université catholique de Louvain (UCL)
● Codruta O. Ancuti, University Politehnica Timisoara
● Lei Zhang, Alibaba & The Hong Kong Polytechnic University
● Ming-Hsuan Yang, University of California at Merced & Google
● Ming-Hsuan Yang, University of California at Merced & Google
● Eli Shechtman, Creative Intelligence Lab at Adobe Research
● Seungjun Nah, Seoul National University, Korea
● Abdullah Abuolaim, York University, Canada
● Eduardo Perez-Pellitero, Huawei Noah's Ark Lab, UK
● Ales Leonardis, Huawei Noah's Ark Lab & University of Birmingham
● Seungjun Nah, Seoul National University
● Sanghyun Son, Seoul National University
● Suyoung Lee, Seoul National University
● Ren Yang, ETH Zurich
● Ruofan Zhou, EPFL
● Majed El Helou, EPFL
● Sabine Süsstrunk, EPFL
● Chao Dong, SIAT
● Jimmy Ren, SenseTime
● Oliver Nina, AF Research Lab
● Bob Lee, Wright Brothers Institute
● Jinjin Gu, University of Sydney
● Luc Van Gool, KU Leuven and ETH Zurich
● Seungjun Nah, Seoul National University, Korea
● Abdullah Abuolaim, York University, Canada
● Eduardo Perez-Pellitero, Huawei Noah's Ark Lab, UK
● Ales Leonardis, Huawei Noah's Ark Lab & University of Birmingham
● Seungjun Nah, Seoul National University
● Sanghyun Son, Seoul National University
● Suyoung Lee, Seoul National University
● Ren Yang, ETH Zurich
● Ruofan Zhou, EPFL
● Majed El Helou, EPFL
● Sabine Süsstrunk, EPFL
● Chao Dong, SIAT
● Jimmy Ren, SenseTime
● Oliver Nina, AF Research Lab
● Bob Lee, Wright Brothers Institute
● Jinjin Gu, University of Sydney
● Luc Van Gool, KU Leuven and ETH Zurich
SPEAKERS (TBA)
SPONSORS (TBA)
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