Perceiving Systems, Computer Vision

SMPLpix: Neural Avatars from 3D Human Models

2021-05-03


SMPLpix is a neural rendering framework that combines deformable 3D models such as SMPL-X with the power of image-to-image translation frameworks (aka pix2pix models). Create a 3D avatar from an video and then render it in new poses.

SMPLpix is a neural rendering framework that combines deformable 3D models such as SMPL-X with the power of image-to-image translation frameworks (aka pix2pix models). Create a 3D avatar from an video and then render it in new poses.

Author(s): Sergey Prokudin
Department(s): Perceiving Systems
Publication(s): {SMPLpix}: Neural Avatars from {3D} Human Models
Authors: Sergey Prokudin
Release Date: 2021-05-03
Repository: https://github.com/sergeyprokudin/smplpix