5 papers · 1 filter
ArtPro: Self-Supervised Articulated Object Reconstruction with Adaptive Integration of Mobility Proposals
Xuelu Li, Zhaonan Wang, Xiaogang Wang +3
Reconstructing articulated objects into high-fidelity digital twins is crucial for applications such as robotic manipulation and interactive simulation. Recent self-supervised meth…
Adaptive and Iterative Point Cloud Denoising with Score-Based Diffusion Model
Zhaonan Wang, Manyi Li, ShiQing Xin +1
Point cloud denoising task aims to recover the clean point cloud from the scanned data coupled with different levels or patterns of noise. The recent state-of-the-art methods often…
Self-Supervised Continuous Colormap Recovery from a 2D Scalar Field Visualization without a Legend
Hongxu Liu, Xinyu Chen, Haoyang Zheng +6
Recovering a continuous colormap from a single 2D scalar field visualization can be quite challenging, especially in the absence of a corresponding color legend. In this paper, we…
AGaussian: Anchor-Graph Structured Gaussian Splatting for Instance-Level 3D Scene Understanding and Editing
Zhaonan Wang, Manyi Li, Changhe Tu
3D Gaussian Splatting (3DGS) has witnessed exponential adoption across diverse applications, driving a critical need for semantic-aware 3D Gaussian representations to enable scene…
Varying Manifolds in Diffusion: From Time-varying Geometries to Visual Saliency
Junhao Chen, Manyi Li, Zherong Pan +2
Deep generative models learn the data distribution, which is concentrated on a low-dimensional manifold. The geometric analysis of distribution transformation provides a better und…