MVDiffusion++: A Dense High-resolution Multi-view Diffusion Model for Single or Sparse-view 3D Object Reconstruction

Arxiv 2024

Shitao Tang1*, Jiacheng Chen1*, Dilin Wang2*, Chengzhou Tang2, Fuyang Zhang1, Yuchen Fan2, Vikas Chandra2, Yasutaka Furukawa†1, Rakesh Ranjan†2

1Simon Fraser University    2Meta Reality Labs    

1*Equal contribution. † Joint last author. Contact the authors at shitaot@sfu.ca.   

Paper

Discussions

Single view Reconsteruction results (71-80/90)

MVDiffusion++ is able to generate dense, high-resolution images conditioned on a single or multiple unposed images
Input image Generated images Textured mesh
Description of GIF
Description of GIF
Description of GIF
Description of GIF
Description of GIF
Description of GIF
Description of GIF
Description of GIF
Description of GIF
Description of GIF


HomePage Previous Page Next Page