The PhyScore challenge creates the first benchmark requiring metrics to jointly score video quality, physical realism, condition alignment, and temporal consistency while localizing physical anomalies in 1554 videos from seven generative models across text-to-2D, image-to-4D, and video-to-4D tracks.
LoViF 2026 the first challenge on human- oriented semantic image quality assessment: Methods and results
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The LoViF 2026 challenge introduces a short-form video weather removal dataset and summarizes results from 5 valid submissions out of 37 participants.
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LoViF 2026 The First Challenge on Holistic Quality Assessment for 4D World Model (PhyScore)
The PhyScore challenge creates the first benchmark requiring metrics to jointly score video quality, physical realism, condition alignment, and temporal consistency while localizing physical anomalies in 1554 videos from seven generative models across text-to-2D, image-to-4D, and video-to-4D tracks.
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LoViF 2026 The First Challenge on Weather Removal in Videos
The LoViF 2026 challenge introduces a short-form video weather removal dataset and summarizes results from 5 valid submissions out of 37 participants.