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This work proposes a physics-guided framework for improving single-image part-aware 3D generation with physically compatible geometry and stable connections, and introduces parameterized connectors at their contact surfaces.
The PanAf-SBR dataset reveals that fine-grained social behaviour recognition in wild great apes can be significantly improved through targeted cross-dataset pre-training.
Lift4D achieves unprecedented accuracy in 4D reconstruction of dynamic objects, even in the presence of severe occlusions and complex motions.
Explicitly inferring mental states under uncertainty leads to more thoughtful dialogue than unrestricted information access, challenging conventional wisdom in AI interactions.
