mlsanityData to 7 Oct 2026

NTIRE 2022 Challenge on Super-Resolution and Quality Enhancement of Compressed Video: Dataset, Methods and Results

arXiv 2204.09314 ↗First posted 20 Apr 2022cs.CVcited by 20

Not on the map. Why?

Abstract (arXiv)

This paper reviews the NTIRE 2022 Challenge on Super-Resolution and Quality Enhancement of Compressed Video. In this challenge, we proposed the LDV 2.0 dataset, which includes the LDV dataset (240 videos) and 95 additional videos. This challenge includes three tracks. Track 1 aims at enhancing the videos compressed by HEVC at a fixed QP. Track 2 and Track 3 target both the super-resolution and quality enhancement of HEVC compressed video. They require x2 and x4 super-resolution, respectively. The three tracks totally attract more than 600 registrations. In the test phase, 8 teams, 8 teams and 12 teams submitted the final results to Tracks 1, 2 and 3, respectively. The proposed methods and solutions gauge the state-of-the-art of super-resolution and quality enhancement of compressed video. The proposed LDV 2.0 dataset is available at https://github.com/RenYang-home/LDV_dataset. The homepage of this challenge (including open-sourced codes) is at https://github.com/RenYang-home/NTIRE22_VEnh_SR.

Key facts. Cited by 20 papers in the map (data through 7 Oct 2026). Builds on 48 of its 78 references that are in the map. First posted on arXiv 20 Apr 2022.

Builds on

48 of 78 references.

References · 48

  1. 2015Deep Residual Learning for Image Recognitioncited by 51,809
  2. 2014Adam: A Method for Stochastic Optimizationcited by 36,960
  3. 2020A Simple Framework for Contrastive Learning of Visual Representationscited by 11,979
  4. 2016Layer Normalizationcited by 5,579
  5. 2016SGDR: Stochastic Gradient Descent with Warm Restartscited by 4,993
  6. 2015Delving Deep into Rectifiers: Surpassing Human-Level Performance on ImageNet Classificationcited by 3,590
  7. 2022A ConvNet for the 2020scited by 3,545
  8. 2017Arbitrary Style Transfer in Real-time with Adaptive Instance Normalizationcited by 1,998
  9. 2021SwinIR: Image Restoration Using Swin Transformercited by 1,869
  10. 2021Restormer: Efficient Transformer for High-Resolution Image Restorationcited by 1,618
  11. 2017Enhanced Deep Residual Networks for Single Image Super-Resolutioncited by 1,543
  12. 2017Deformable Convolutional Networkscited by 1,481
36 more
  1. 2021Video Swin Transformercited by 1,090
  2. 2017Sigmoid-Weighted Linear Units for Neural Network Function Approximation in Reinforcement Learningcited by 935
  3. 2016Efficient and robust approximate nearest neighbor search using Hierarchical Navigable Small World graphscited by 853
  4. 2018Deformable ConvNets v2: More Deformable, Better Resultscited by 666
  5. 2017Video Enhancement with Task-Oriented Flowcited by 612
  6. 2019EDVR: Video Restoration with Enhanced Deformable Convolutional Networkscited by 492
  7. 2016Optical Flow Estimation using a Spatial Pyramid Networkcited by 421
  8. 2021BasicVSR++: Improving Video Super-Resolution with Enhanced Propagation and Alignmentcited by 340
  9. 2020BasicVSR: The Search for Essential Components in Video Super-Resolution and Beyondcited by 303
  10. 2020Component Divide-and-Conquer for Real-World Image Super-Resolutioncited by 243
  11. 2014Efficient Object Localization Using Convolutional Networkscited by 226
  12. 2018TDAN: Temporally Deformable Alignment Network for Video Super-Resolutioncited by 225
  13. 2021Learning to Estimate Hidden Motions with Global Motion Aggregationcited by 223
  14. 2018Frame-Recurrent Video Super-Resolutioncited by 160
  15. 2016Real-Time Video Super-Resolution with Spatio-Temporal Networks and Motion Compensationcited by 156
  16. 2019Feedback Network for Image Super-Resolutioncited by 155
  17. 2017Detail-revealing Deep Video Super-resolutioncited by 147
  18. 2019Recurrent Back-Projection Network for Video Super-Resolutioncited by 147
  19. 2017Fast and Accurate Image Super-Resolution with Deep Laplacian Pyramid Networkscited by 138
  20. 2019Large Memory Layers with Product Keyscited by 120
  21. 2020Learning for Video Compression with Hierarchical Quality and Recurrent Enhancementcited by 90
  22. 2015Seven ways to improve example-based single image super resolutioncited by 51
  23. 2019MFQE 2.0: A New Approach for Multi-frame Quality Enhancement on Compressed Videocited by 50
  24. 2018Multi-Frame Quality Enhancement for Compressed Videocited by 48
  25. 2021Reflash Dropout in Image Super-Resolutioncited by 41
  26. 2020Deep Video Super-Resolution using HR Optical Flow Estimationcited by 40
  27. 2022Revisiting RCAN: Improved Training for Image Super-Resolutioncited by 32
  28. 2017Enhancing Quality for HEVC Compressed Videoscited by 28
  29. 2020Early Exit or Not: Resource-Efficient Blind Quality Enhancement for Compressed Imagescited by 28
  30. 2020Multi-level Wavelet-based Generative Adversarial Network for Perceptual Quality Enhancement of Compressed Videocited by 26
  31. 2021NTIRE 2021 Challenge on Quality Enhancement of Compressed Video: Methods and Resultscited by 26
  32. 2021NTIRE 2021 Challenge on Burst Super-Resolution: Methods and Resultscited by 22
  33. 2019Non-Local ConvLSTM for Video Compression Artifact Reductioncited by 19
  34. 2019Quality-Gated Convolutional LSTM for Enhancing Compressed Videocited by 11
  35. 2019Gated Multiple Feedback Network for Image Super-Resolutioncited by 10
  36. 2021NTIRE 2021 Challenge on Quality Enhancement of Compressed Video: Dataset and Studycited by 9

Built on by

Cited by year

Citing papers per year: 2022: 10; 2023: 5; 2024: 3; 2025: 2.

20 papers.

Sort:

By area:

  1. 2022Swin2SR: SwinV2 Transformer for Compressed Image Super-Resolution and Restorationcited by 72
  2. 2022NTIRE 2022 Challenge on Perceptual Image Quality Assessmentcited by 41
  3. 2022NTIRE 2022 Challenge on Efficient Super-Resolution: Methods and Resultscited by 40
  4. 2023A Residual Diffusion Model for High Perceptual Quality Codec Augmentationcited by 33
  5. 2022Mitigating Artifacts in Real-World Video Super-Resolution Modelscited by 29
  6. 2022AIM 2022 Challenge on Super-Resolution of Compressed Image and Video: Dataset, Methods and Resultscited by 20
  7. 2024CPGA: Coding Priors-Guided Aggregation Network for Compressed Video Quality Enhancementcited by 17
  8. 2025NTIRE 2025 Challenge on UGC Video Enhancement: Methods and Resultscited by 12
  9. 2022NTIRE 2022 Challenge on High Dynamic Range Imaging: Methods and Resultscited by 10
  10. 2025NTIRE 2025 Challenge on Video Quality Enhancement for Video Conferencing: Datasets, Methods and Resultscited by 9
  11. 2022Progressive Training of A Two-Stage Framework for Video Restorationcited by 7
  12. 2023Online Streaming Video Super-Resolution with Convolutional Look-Up Tablecited by 7
8 more
  1. 2023VCISR: Blind Single Image Super-Resolution with Video Compression Synthetic Datacited by 7
  2. 2023Quantum Annealing for Single Image Super-Resolutioncited by 5
  3. 2022SPIN: Simulated Poisoning and Inversion Network for Federated Learning-Based 6G Vehicular Networkscited by 4
  4. 2022DAQE: Enhancing the Quality of Compressed Images by Exploiting the Inherent Characteristic of Defocuscited by 2
  5. 2023SR+Codec: a Benchmark of Super-Resolution for Video Compression Bitrate Reductioncited by 2
  6. 20222nd Place Solutions for UG2+ Challenge 2022 -- D3Net for Mitigating Atmospheric Turbulence from Imagescited by 0
  7. 2024Super Efficient Neural Network for Compression Artifacts Reduction and Super Resolutioncited by 0
  8. 2024Compression-Realized Deep Structural Network for Video Quality Enhancementcited by 0