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Make Your MoVe: Make Your 3D Contents by Adapting Multi-View Diffusion Models to External Editing
Weitao Wang, Haoran Xu, Jun Meng +1
As 3D generation techniques continue to flourish, the demand for generating personalized content is rapidly rising. Users increasingly seek to apply various editing methods to poli…
NOVA3D: Normal Aligned Video Diffusion Model for Single Image to 3D Generation
Yuxiao Yang, Peihao Li, Yuhong Zhang +5
3D AI-generated content (AIGC) has made it increasingly accessible for anyone to become a 3D content creator. While recent methods leverage Score Distillation Sampling to distill 3…
MVReward: Better Aligning and Evaluating Multi-View Diffusion Models with Human Preferences
Weitao Wang, Haoran Xu, Yuxiao Yang +3
Recent years have witnessed remarkable progress in 3D content generation. However, corresponding evaluation methods struggle to keep pace. Automatic approaches have proven challeng…
Gaussian in the Wild: 3D Gaussian Splatting for Unconstrained Image Collections
Dongbin Zhang, Chuming Wang, Weitao Wang +3
Novel view synthesis from unconstrained in-the-wild images remains a meaningful but challenging task. The photometric variation and transient occluders in those unconstrained image…