11 citations · 15 across the 6 of their papers we have counts for
6 papers · 1 filter
MVD-HuGaS: Human Gaussians from a Single Image via 3D Human Multi-view Diffusion Prior
Kaiqiang Xiong, Ying Feng, Qi Zhang +5
3D human reconstruction from a single image is a challenging problem and has been exclusively studied in the literature. Recently, some methods have resorted to diffusion models fo…
GUS-IR: Gaussian Splatting with Unified Shading for Inverse Rendering
Zhihao Liang, Hongdong Li, Kui Jia +2
Recovering the intrinsic physical attributes of a scene from images, generally termed as the inverse rendering problem, has been a central and challenging task in computer vision a…
Analytic-Splatting: Anti-Aliased 3D Gaussian Splatting via Analytic Integration
Zhihao Liang, Qi Zhang, Wenbo Hu +3
The 3D Gaussian Splatting (3DGS) gained its popularity recently by combining the advantages of both primitive-based and volumetric 3D representations, resulting in improved quality…
Advances in 3D Generation: A Survey
Xiaoyu Li, Qi Zhang, Di Kang +7
Generating 3D models lies at the core of computer graphics and has been the focus of decades of research. With the emergence of advanced neural representations and generative model…
Sur2f: A Hybrid Representation for High-Quality and Efficient Surface Reconstruction from Multi-view Images
Zhangjin Huang, Zhihao Liang, Haojie Zhang +2
Multi-view surface reconstruction is an ill-posed, inverse problem in 3D vision research. It involves modeling the geometry and appearance with appropriate surface representations.…
GS-IR: 3D Gaussian Splatting for Inverse Rendering
Zhihao Liang, Qi Zhang, Ying Feng +2
We propose GS-IR, a novel inverse rendering approach based on 3D Gaussian Splatting (GS) that leverages forward mapping volume rendering to achieve photorealistic novel view synthe…