collaborators

9 papers

cs.CV2026

City-Level 3D Surface Reconstruction with Viewpoint Orientation Partitioning and Scene Completion

Liang Han, Wenyuan Zhang, Junsheng Zhou +2

Multi-view 3D surface reconstruction is a longstanding challenge in computer vision. Although recent large-scale reconstruction methods based on 3D Gaussian Splatting (3DGS) achiev…

cs.CV2026

VidSplat: Gaussian Splatting Reconstruction with Geometry-Guided Video Diffusion Priors

Jimin Tang, Wenyuan Zhang, Junsheng Zhou +5

Gaussian Splatting has achieved remarkable progress in multi-view surface reconstruction, yet it exhibits notable degradation when only few views are available. Although recent eff…

cs.CV2026

4C4D: 4 Camera 4D Gaussian Splatting

Junsheng Zhou, Zhifan Yang, Liang Han +4

This paper tackles the challenge of recovering 4D dynamic scenes from videos captured by as few as four portable cameras. Learning to model scene dynamics for temporally consistent…

cs.CV2026

VRP-UDF: Towards Unbiased Learning of Unsigned Distance Functions from Multi-view Images with Volume Rendering Priors

Wenyuan Zhang, Chunsheng Wang, Kanle Shi +2

Unsigned distance functions (UDFs) have been a vital representation for open surfaces. With different differentiable renderers, current methods are able to train neural networks to…

cs.CV2025

MaterialRefGS: Reflective Gaussian Splatting with Multi-view Consistent Material Inference

Wenyuan Zhang, Jimin Tang, Weiqi Zhang +3

Modeling reflections from 2D images is essential for photorealistic rendering and novel view synthesis. Recent approaches enhance Gaussian primitives with reflection-related materi…

cs.CV2025

GAP: Gaussianize Any Point Clouds with Text Guidance

Weiqi Zhang, Junsheng Zhou, Haotian Geng +2

3D Gaussian Splatting (3DGS) has demonstrated its advantages in achieving fast and high-quality rendering. As point clouds serve as a widely-used and easily accessible form of 3D r…