29 citations · 48 across the 5 of their papers we have counts for
5 papers
OnePose++: Keypoint-Free One-Shot Object Pose Estimation without CAD Models
Xingyi He, Jiaming Sun, Yuang Wang +3
We propose a new method for object pose estimation without CAD models. The previous feature-matching-based method OnePose has shown promising results under a one-shot setting which…
Ponder: Point Cloud Pre-training via Neural Rendering
Di Huang, Sida Peng, Tong He +3
We propose a novel approach to self-supervised learning of point cloud representations by differentiable neural rendering. Motivated by the fact that informative point cloud featur…
Reconstructing Hand-Held Objects from Monocular Video
Di Huang, Xiaopeng Ji, Xingyi He +5
This paper presents an approach that reconstructs a hand-held object from a monocular video. In contrast to many recent methods that directly predict object geometry by a trained n…
MonoGraspNet: 6-DoF Grasping with a Single RGB Image
Guangyao Zhai, Dianye Huang, Shun-Cheng Wu +6
6-DoF robotic grasping is a long-lasting but unsolved problem. Recent methods utilize strong 3D networks to extract geometric grasping representations from depth sensors, demonstra…
Beyond 3DMM: Learning to Capture High-fidelity 3D Face Shape
Xiangyu Zhu, Chang Yu, Di Huang +3
3D Morphable Model (3DMM) fitting has widely benefited face analysis due to its strong 3D priori. However, previous reconstructed 3D faces suffer from degraded visual verisimilitud…