This release is paired with the [MS-ILLM open-source implementation](https://github.com/facebookresearch/NeuralCompression/tree/main/projects/illm) and includes utilities for generative compression, focusing on autoencoders with adversarial training.
List of updates:
- Removed models redundant with CompressAI and added HiFiC autoencoder model (PR 196)
- Metrics refactor to new `metrics` module, adding HiFiC FID/256 implementation, SwAV-based FID, and DISTS metric (PR 197)
- Datasets implementation for OpenImages, DIV2K, plus testing improvements (PR 198)
- Loss functions for non-saturating GAN, OASIS, MSE, and MSE-LPIPS (PR 199)
- Creation of model zoo and MS-ILLM model weights open-sourcing (PR 211)
- MS-ILLM training framework (PRs 200, 210, 216, 220)
- Repository build updates (PRs 208, 207, 214, 221)
- Bug fix for DVC decompress function (PR 202)
- Bug fix for optical flow color (PR 203)
- Apple Silicon support tail estimation (PR 205)
Contributors: N1ghtstalker2022, txya900619, NripeshN mmuckley