Vid2Avatar: 3D Avatar Reconstruction from Videos in the Wild via Self-supervised Scene Decomposition

Understand

We present Vid2Avatar, a method to learn human avatars from monocular in-the-wild videos.

• Reconstructing humans that move naturally from monocular in-the-wild videos is difficult.
• Solving it requires accurately separating humans from arbitrary backgrounds.
• Moreover, it requires reconstructing detailed 3D surface from short video sequences, making it even more challenging.