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20242026
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cs.CV2026

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…

cs.CV2026

RobustVLA: On Robustness of Vision-Language-Action Model against Multi-Modal Perturbations

Jianing Guo, Zhenhong Wu, Chang Tu +13

In Vision-Language-Actionf(VLA) models, robustness to real-world perturbations is critical for deployment. Existing methods target simple visual disturbances, overlooking the broad…

cs.CV2025

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…

cs.CV2025

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…

cs.CV2024

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…