| # DensePose CSE with Cycle Losses | |
| This release follows the paper [Neverova et al, 2021]() and | |
| adds CSE datasets with more annotations, better CSE animal models | |
| to the model zoo, losses to ensure cycle consistency for models and mesh | |
| alignment evaluator. In particular: | |
| * [Pixel to shape](../densepose/modeling/losses/cycle_pix2shape.py) and [shape to shape](../densepose/modeling/losses/cycle_shape2shape.py) cycle consistency losses; | |
| * Mesh alignment [evaluator](../densepose/evaluation/mesh_alignment_evaluator.py); | |
| * Existing CSE datasets renamed to [ds1_train](https://dl.fbaipublicfiles.com/densepose/annotations/lvis/densepose_lvis_v1_ds1_train_v1.json) and [ds1_val](https://dl.fbaipublicfiles.com/densepose/annotations/lvis/densepose_lvis_v1_ds1_val_v1.json); | |
| * New CSE datasets [ds2_train](https://dl.fbaipublicfiles.com/densepose/annotations/lvis/densepose_lvis_v1_ds2_train_v1.json) and [ds2_val](https://dl.fbaipublicfiles.com/densepose/annotations/lvis/densepose_lvis_v1_ds2_val_v1.json) added; | |
| * Better CSE animal models trained with the 16k schedule added to the [model zoo](DENSEPOSE_CSE.md#animal-cse-models). | |