3DV, 2025. Best Paper Award.
We propose Object Images, a 2D representation that enables realistic 3D shape generation with UV maps using image-based models like Diffusion Transformers.
CVPR, 2022
A transformer-based network that produces a distribution of object completions, conditioned on incomplete, and possibly noisy, point clouds.
ACM Transactions on Graphics (Proc. SIGGRAPH Asia), 2019
A deep learning-based approach which simultaneously infers movable parts and hallucinates their motions from a single, un-segmented, and possibly partial, 3D point cloud shape.