37 citations · 47 across the 6 of their papers we have counts for
6 papers
Touch2Shape: Touch-Conditioned 3D Diffusion for Shape Exploration and Reconstruction
Yuanbo Wang, Zhaoxuan Zhang, Jiajin Qiu +4
Diffusion models have made breakthroughs in 3D generation tasks. Current 3D diffusion models focus on reconstructing target shape from images or a set of partial observations. Whil…
Removal of point source leakage from time-order data filtering
Zhaoxuan Zhang, Lu Huang, Yang Liu +3
Time-ordered data (TOD) from ground-based CMB experiments are generally filtered before map-making to remove or reduce the contamination from the ground and the atmospheric emissio…
Explore Contextual Information for 3D Scene Graph Generation
Yuanyuan Liu, Chengjiang Long, Zhaoxuan Zhang +4
3D scene graph generation (SGG) has been of high interest in computer vision. Although the accuracy of 3D SGG on coarse classification and single relation label has been gradually…
Point Cloud Scene Completion with Joint Color and Semantic Estimation from Single RGB-D Image
Zhaoxuan Zhang, Xiaoguang Han, Bo Dong +3
We present a deep reinforcement learning method of progressive view inpainting for colored semantic point cloud scene completion under volume guidance, achieving high-quality scene…
Performance forecasts for the primordial gravitational wave detection pipelines for AliCPT-1
Shamik Ghosh, Yang Liu, Le Zhang +17
AliCPT is the first Chinese cosmic microwave background (CMB) experiment which will make the most precise measurements of the CMB polarization in the northern hemisphere. The key s…
Deep Reinforcement Learning of Volume-guided Progressive View Inpainting for 3D Point Scene Completion from a Single Depth Image
Xiaoguang Han, Zhaoxuan Zhang, Dong Du +7
We present a deep reinforcement learning method of progressive view inpainting for 3D point scene completion under volume guidance, achieving high-quality scene reconstruction from…