xiyichen/morphablediffusion
[CVPR 2024] Official implementation of Morphable Diffusion: 3D-Consistent Diffusion for Single-image Avatar Creation
This tool helps 3D artists, game developers, or animators create realistic, 3D-consistent digital avatars from a single 2D image. You input one image of a person's face or body and another image showing the desired facial expression. The output is a series of images of the avatar with the new expression, along with data to reconstruct a 3D mesh.
104 stars. No commits in the last 6 months.
Use this if you need to generate 3D-consistent views of a human avatar, particularly for animating facial expressions, starting from just one photograph.
Not ideal if you need full 3D mesh reconstruction directly without an additional step, or if your primary goal is not avatar creation or animation.
Stars
104
Forks
10
Language
Python
License
MIT
Category
Last pushed
Mar 28, 2025
Commits (30d)
0
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