4 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…
Video4DGen: Enhancing Video and 4D Generation through Mutual Optimization
Yikai Wang, Guangce Liu, Xinzhou Wang +5
The advancement of 4D (i.e., sequential 3D) generation opens up new possibilities for lifelike experiences in various applications, where users can explore dynamic objects or chara…
MeshAnything V2: Artist-Created Mesh Generation With Adjacent Mesh Tokenization
Yiwen Chen, Yikai Wang, Yihao Luo +5
Meshes are the de facto 3D representation in the industry but are labor-intensive to produce. Recently, a line of research has focused on autoregressively generating meshes. This a…
DimensionX: Create Any 3D and 4D Scenes from a Single Image with Controllable Video Diffusion
Wenqiang Sun, Shuo Chen, Fangfu Liu +4
In this paper, we introduce \textbf{DimensionX}, a framework designed to generate photorealistic 3D and 4D scenes from just a single image with video diffusion. Our approach begins…