解决视频码流损坏后的画质恢复问题，提升视觉连贯性。
NTIRE 2026 Challenge on Bitstream-Corrupted Video Restoration: Methods and Results
- 构建真实码流损坏场景下的统一评估基准
- 参赛方法在严重时空失真下实现视觉连贯性恢复
- 适合关注视频鲁棒修复的研究者和工程师
本文报告了 NTIRE 2026 码流损坏视频恢复挑战赛（BSCVR）。该挑战旨在推动从受损码流中恢复视觉连贯视频的研究，其解码常引发严重时空伪影与内容失真。基于近期码流损坏视频恢复进展，挑战赛建立了真实损坏条件下的统一评估基准。文中介绍了数据集、评估协议及参与方法，并总结了最终结果与主要技术趋势。挑战凸显了该新兴任务的难度，为未来在实际码流损坏下的鲁棒视频修复研究提供了重要洞见。
原文摘要 · Abstract (English)
This paper reports on the NTIRE 2026 Challenge on Bitstream-Corrupted Video Restoration (BSCVR). The challenge aims to advance research on recovering visually coherent videos from corrupted bitstreams, whose decoding often produces severe spatial-temporal artifacts and content distortion. Built upon recent progress in bitstream-corrupted video recovery, the challenge provides a common benchmark for evaluating restoration methods under realistic corruption settings. We describe the dataset, evaluation protocol, and participating methods, and summarize the final results and main technical trends. The challenge highlights the difficulty of this emerging task and provides useful insights for future research on robust video restoration under practical bitstream corruption.
Thank you to arXiv for use of its open access interoperability. PaperDance 不是 arXiv 官方产品；中文卡片由大模型生成，请以原文为准。