25 citations · 48 across the 6 of their papers we have counts for
6 papers
MeshGen: Generating PBR Textured Mesh with Render-Enhanced Auto-Encoder and Generative Data Augmentation
Zilong Chen, Yikai Wang, Wenqiang Sun +3
In this paper, we introduce MeshGen, an advanced image-to-3D pipeline that generates high-quality 3D meshes with detailed geometry and physically based rendering (PBR) textures. Ad…
V3D: Video Diffusion Models are Effective 3D Generators
Zilong Chen, Yikai Wang, Feng Wang +2
Automatic 3D generation has recently attracted widespread attention. Recent methods have greatly accelerated the generation speed, but usually produce less-detailed objects due to…
GaussianEditor: Swift and Controllable 3D Editing with Gaussian Splatting
Yiwen Chen, Zilong Chen, Chi Zhang +7
3D editing plays a crucial role in many areas such as gaming and virtual reality. Traditional 3D editing methods, which rely on representations like meshes and point clouds, often…
Masked Space-Time Hash Encoding for Efficient Dynamic Scene Reconstruction
Feng Wang, Zilong Chen, Guokang Wang +2
In this paper, we propose the Masked Space-Time Hash encoding (MSTH), a novel method for efficiently reconstructing dynamic 3D scenes from multi-view or monocular videos. Based on…
Text-to-3D using Gaussian Splatting
Zilong Chen, Feng Wang, Yikai Wang +1
Automatic text-to-3D generation that combines Score Distillation Sampling (SDS) with the optimization of volume rendering has achieved remarkable progress in synthesizing realistic…
Understanding the Behaviour of Contrastive Loss
Feng Wang, Huaping Liu
Unsupervised contrastive learning has achieved outstanding success, while the mechanism of contrastive loss has been less studied. In this paper, we concentrate on the understandin…