提升视频会议画质，实现专业级光照、色彩与清晰度增强
NTIRE 2025 Challenge on Video Quality Enhancement for Video Conferencing: Datasets, Methods and Results
- 基于可微分画质评估模型，端到端优化光照、色彩、降噪与锐化
- 91人参赛，10份有效方案在众包框架下评测
- 聚焦真实视频会议场景，适合音视频质量优化研究者
本文全面回顾了在CVPR 2025 NTIRE研讨会举办的首届视频会议画质增强挑战赛，阐述了问题设定、数据集、提出的方法及最终结果。该挑战旨在设计一种视频质量增强（VQE）模型，通过改善光照、增强色彩、降低噪声和提升清晰度，使视频呈现专业演播室效果。参赛者获得了可微分视频质量评估（VQA）模型、训练视频与测试视频。共有91名参与者注册，收到10份有效提交，并在众包框架下完成评估。
原文摘要 · Abstract (English)
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.
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