SPIN is a state-of-the-art deep network for regressing SMPL body shape and pose parameters directly from an image. SPIN uses a novel training method that combines a bottom-up deep network with a top-down, model-based, fitting method. SMPLify model fitting is used in the loop with the DNN training to provide SMPL parameters used in the training loss. Code is available.
SPIN is a state-of-the-art deep network for regressing SMPL body shape and pose parameters directly from an image. SPIN uses a novel training method that combines a bottom-up deep network with a top-down, model-based, fitting method. SMPLify model fitting is used in the loop with the DNN training to provide SMPL parameters used in the training loss. Code is available.
| Release Date: | 01 October 2019 |
| licence_type: | PS:License 1.0 |
| Authors: | Kolotouros, Nikos and Pavlakos, Georgios and Black, Michael J. and Daniilidis, Kostas |
| Repository: | https://github.com/nkolot/SPIN |