4 papers
Artic-O: End-to-End Articulated Object Reconstruction via Latent Geometry Learning
Xuyang Wang, Zhenyu Li, Jian Ding +4
Reconstructing articulated objects from sparse images requires recovering complete geometry, movable parts, and motion parameters. Recent methods typically separate geometry recons…
CompoSE: Compositional Synthesis and Editing of 3D Shapes via Part-Aware Control
Habib Slim, Shariq Farooq Bhat, Mohamed Elhoseiny +2
Creating and editing high-quality 3D content remains a central challenge in computer graphics. We address this challenge by introducing CompoSE, a novel method for Compositional Sy…
3DCoMPaT: An improved Large-scale 3D Vision Dataset for Compositional Recognition
Habib Slim, Xiang Li, Yuchen Li +8
In this work, we present 3DCoMPaT, a multimodal 2D/3D dataset with 160 million rendered views of more than 10 million stylized 3D shapes carefully annotated at the part-inst…
CoT3DRef: Chain-of-Thoughts Data-Efficient 3D Visual Grounding
Eslam Abdelrahman, Mohamed Ayman, Mahmoud Ahmed +2
3D visual grounding is the ability to localize objects in 3D scenes conditioned by utterances. Most existing methods devote the referring head to localize the referred object direc…