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Rethinking 3D Shape Generation: Diffusion over Superquadrics
Zhiyang Liu, Wanze Li, Yuwei Wu +4
Diffusion models have advanced 3D shape generation, yet most methods still denoise in high-cardinality spaces (e.g., voxel/SDF grids, meshes, or point clouds), which is computation…
NTR: Neural Token Reconstruction for Scene Token Bottleneck in End-to-End Driving
Jiahui Li, Jiawei Sun, Zixiang Ren +7
Recent perception-free end-to-end (E2E) autonomous driving methods bypass explicit perception outputs by compressing dense image patch tokens into compact scene tokens for downstre…
You Only Scan Once: A Dynamic Scene Reconstruction Pipeline for 6-DoF Robotic Grasping of Novel Objects
Lei Zhou, Haozhe Wang, Zhengshen Zhang +3
In the realm of robotic grasping, achieving accurate and reliable interactions with the environment is a pivotal challenge. Traditional methods of grasp planning methods utilizing…
DR-Pose: A Two-stage Deformation-and-Registration Pipeline for Category-level 6D Object Pose Estimation
Lei Zhou, Zhiyang Liu, Runze Gan +2
Category-level object pose estimation involves estimating the 6D pose and the 3D metric size of objects from predetermined categories. While recent approaches take categorical shap…