9 citations · 24 across the 10 of their papers we have counts for
8 papers · 1 filter
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…
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…
Freeplane: Unlocking Free Lunch in Triplane-Based Sparse-View Reconstruction Models
Wenqiang Sun, Zhengyi Wang, Shuo Chen +4
Creating 3D assets from single-view images is a complex task that demands a deep understanding of the world. Recently, feed-forward 3D generative models have made significant progr…
Vidu4D: Single Generated Video to High-Fidelity 4D Reconstruction with Dynamic Gaussian Surfels
Yikai Wang, Xinzhou Wang, Zilong Chen +3
Video generative models are receiving particular attention given their ability to generate realistic and imaginative frames. Besides, these models are also observed to exhibit stro…
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…