A large synthetic benchmark shows vision-language models match 3D shapes well across single changes like rotation or texture, but fail when rotation and texture change together, trailing humans by a wide margin.
Creating such a system is one of the main goals of computer vision and can enable autonomous robots, cars, and numerous other applications[6]
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Do large language vision models understand 3D shapes?
A large synthetic benchmark shows vision-language models match 3D shapes well across single changes like rotation or texture, but fail when rotation and texture change together, trailing humans by a wide margin.