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BVB tests AI video understanding through Blender reconstructions
The researchers say they evaluated 63 agent configurations on 288 indoor videos, scoring visual similarity and retained facts.
TLDR
The BVB researchers say their benchmark asks AI agents to write Blender code that reconstructs real indoor videos as animated 3D scenes. Its leaderboard, updated October 13, covers 63 configurations tested on 288 videos. The team says visual-similarity scores exceeded fact-retention scores for every configuration; the highest fact-retention score was 60.2% of the questions its judge answered correctly on the source videos.
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