NTIRE 2021 Challenge on Quality Enhancement of Compressed Video: Dataset and Study
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Abstract (arXiv)
This paper introduces a novel dataset for video enhancement and studies the state-of-the-art methods of the NTIRE 2021 challenge on quality enhancement of compressed video. The challenge is the first NTIRE challenge in this direction, with three competitions, hundreds of participants and tens of proposed solutions. Our newly collected Large-scale Diverse Video (LDV) dataset is employed in the challenge. In our study, we analyze the proposed methods of the challenge and several methods in previous works on the proposed LDV dataset. We find that the NTIRE 2021 challenge advances the state-of-the-art of quality enhancement on compressed video. The proposed LDV dataset is publicly available at the homepage of the challenge: https://github.com/RenYang-home/NTIRE21_VEnh
Key facts. Cited by 9 papers in the map (data through 7 Oct 2026). Builds on 15 of its 38 references that are in the map. First posted on arXiv 21 Apr 2021.
Builds on
15 of 38 references.
References · 15
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- 2020Learning for Video Compression with Hierarchical Quality and Recurrent Enhancementcited by 90
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- 2019MFQE 2.0: A New Approach for Multi-frame Quality Enhancement on Compressed Videocited by 50
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Built on by
Citing papers per year: 2021: 1; 2022: 3; 2023: 2; 2024: 2; 2025: 1.
9 papers.
- 2023LDMVFI: Video Frame Interpolation with Latent Diffusion Modelscited by 88
- 2022NTIRE 2022 Challenge on Super-Resolution and Quality Enhancement of Compressed Video: Dataset, Methods and Resultscited by 20
- 2022AIM 2022 Challenge on Super-Resolution of Compressed Image and Video: Dataset, Methods and Resultscited by 20
- 2024CPGA: Coding Priors-Guided Aggregation Network for Compressed Video Quality Enhancementcited by 17
- 2024Motion-aware Latent Diffusion Models for Video Frame Interpolationcited by 14
- 2025NTIRE 2025 Challenge on UGC Video Enhancement: Methods and Resultscited by 12
- 2022Progressive Training of A Two-Stage Framework for Video Restorationcited by 7
- 2021Boosting the Performance of Video Compression Artifact Reduction with Reference Frame Proposals and Frequency Domain Informationcited by 4
- 2023Leveraging Video Coding Knowledge for Deep Video Enhancementcited by 0
- 2025NTIRE 2025 Challenge on UGC Video Enhancement: Methods and Results5 May 2025
- 2024Motion-aware Latent Diffusion Models for Video Frame Interpolation21 Apr 2024
- 2024CPGA: Coding Priors-Guided Aggregation Network for Compressed Video Quality Enhancement15 Mar 2024
- 2023LDMVFI: Video Frame Interpolation with Latent Diffusion Models16 Mar 2023
- 2023Leveraging Video Coding Knowledge for Deep Video Enhancement27 Feb 2023
- 2022AIM 2022 Challenge on Super-Resolution of Compressed Image and Video: Dataset, Methods and Results23 Aug 2022
- 2022Progressive Training of A Two-Stage Framework for Video Restoration21 Apr 2022
- 2022NTIRE 2022 Challenge on Super-Resolution and Quality Enhancement of Compressed Video: Dataset, Methods and Results20 Apr 2022
- 2021Boosting the Performance of Video Compression Artifact Reduction with Reference Frame Proposals and Frequency Domain Information31 May 2021