most citedGaussEdit: Adaptive 3D Scene Editing with Text and Image Prompts

4 citations · 5 across the 4 of their papers we have counts for

collaborators

5 papers

cs.GR20254 cited

GaussEdit: Adaptive 3D Scene Editing with Text and Image Prompts

Zhenyu Shu, Junlong Yu, Kai Chao +2

This paper presents GaussEdit, a framework for adaptive 3D scene editing guided by text and image prompts. GaussEdit leverages 3D Gaussian Splatting as its backbone for scene repre…

cs.GR2025

Diff-3DCap: Shape Captioning with Diffusion Models

Zhenyu Shu, Jiawei Wen, Shiyang Li +2

The task of 3D shape captioning occupies a significant place within the domain of computer graphics and has garnered considerable interest in recent years. Traditional approaches t…

cs.GR2025

StrucADT: Generating Structure-controlled 3D Point Clouds with Adjacency Diffusion Transformer

Zhenyu Shu, Jiajun Shen, Zhongui Chen +2

In the field of 3D point cloud generation, numerous 3D generative models have demonstrated the ability to generate diverse and realistic 3D shapes. However, the majority of these a…

cs.GR20251 cited

DFG-PCN: Point Cloud Completion with Degree-Flexible Point Graph

Zhenyu Shu, Jian Yao, Shiqing Xin

Point cloud completion is a vital task focused on reconstructing complete point clouds and addressing the incompleteness caused by occlusion and limited sensor resolution. Traditio…

cs.CV2025

InfoGNN: End-to-end deep learning on mesh via graph neural networks

Ling Gao, Zhenyu Shu, Shiqing Xin

3D models are widely used in various industries, and mesh data has become an indispensable part of 3D modeling because of its unique advantages. Mesh data can provide an intuitive…