NTIRE 2025 Challenge on Video Quality Enhancement for Video Conferencing: Datasets, Methods and Results
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Abstract (arXiv)
This paper presents a comprehensive review of the 1st Challenge on Video Quality Enhancement for Video Conferencing held at the NTIRE workshop at CVPR 2025, and highlights the problem statement, datasets, proposed solutions, and results. The aim of this challenge was to design a Video Quality Enhancement (VQE) model to enhance video quality in video conferencing scenarios by (a) improving lighting, (b) enhancing colors, (c) reducing noise, and (d) enhancing sharpness - giving a professional studio-like effect. Participants were given a differentiable Video Quality Assessment (VQA) model, training, and test videos. A total of 91 participants registered for the challenge. We received 10 valid submissions that were evaluated in a crowdsourced framework.
Key facts. Cited by 9 papers in the map (data through 14 Oct 2026). Builds on 29 of its 53 references that are in the map. First posted on arXiv 25 May 2025.
Builds on
29 of 53 references.
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17 more
- 2025The Tenth NTIRE 2025 Efficient Super-Resolution Challenge Reportcited by 26
- 2025NTIRE 2025 Challenge on Cross-Domain Few-Shot Object Detection: Methods and Resultscited by 25
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- 2025The Tenth NTIRE 2025 Image Denoising Challenge Reportcited by 21
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- 2025NTIRE 2025 Challenge on Event-Based Image Deblurring: Methods and Resultscited by 16
- 2025NTIRE 2025 Challenge on Short-form UGC Video Quality Assessment and Enhancement: Methods and Resultscited by 14
- 2025NTIRE 2025 Challenge on Efficient Burst HDR and Restoration: Datasets, Methods, and Resultscited by 14
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Citing papers per year: 2025: 8; 2026: 1.
9 papers.
- 2025NTIRE 2025 Challenge on RAW Image Restoration and Super-Resolutioncited by 9
- 2025NTIRE 2025 XGC Quality Assessment Challenge: Methods and Resultscited by 6
- 2025NTIRE 2025 the 2nd Restore Any Image Model (RAIM) in the Wild Challengecited by 5
- 2025RAW Image Reconstruction from RGB on Smartphones. NTIRE 2025 Challenge Reportcited by 4
- 2025NTIRE 2025 Challenge on HR Depth from Images of Specular and Transparent Surfacescited by 3
- 2025DeDelayed: Deleting Remote Inference Delay via On-Device Correctioncited by 2
- 2025NTIRE 2025 Image Shadow Removal Challenge Reportcited by 1
- 2025NTIRE 2025 Challenge on Low Light Image Enhancement: Methods and Resultscited by 1
- 2026DST-Net: A Dual-Stream Transformer with Illumination-Independent Feature Guidance and Multi-Scale Spatial Convolution for Low-Light Image Enhancementcited by 0
- 2026DST-Net: A Dual-Stream Transformer with Illumination-Independent Feature Guidance and Multi-Scale Spatial Convolution for Low-Light Image Enhancement17 Mar 2026
- 2025DeDelayed: Deleting Remote Inference Delay via On-Device Correction15 Oct 2025
- 2025NTIRE 2025 Challenge on Low Light Image Enhancement: Methods and Results15 Oct 2025
- 2025NTIRE 2025 Image Shadow Removal Challenge Report18 Jun 2025
- 2025NTIRE 2025 Challenge on HR Depth from Images of Specular and Transparent Surfaces6 Jun 2025
- 2025NTIRE 2025 XGC Quality Assessment Challenge: Methods and Results3 Jun 2025
- 2025NTIRE 2025 Challenge on RAW Image Restoration and Super-Resolution2 Jun 2025
- 2025RAW Image Reconstruction from RGB on Smartphones. NTIRE 2025 Challenge Report2 Jun 2025
- 2025NTIRE 2025 the 2nd Restore Any Image Model (RAIM) in the Wild Challenge2 Jun 2025