IDDM v1.1.5

[chairc]

What's Changed

• FID calculator used for evaluating generated images. by @egoist945402376 in FID calculator used for evaluating generated images. #64
• Update: Add Pytorch_fid in requirements.txt by @EdwardTj in Update:Add Pytorch_fid in requirements.txt #65
• Update: Refactor train.py format. by @chairc in Update: Refactor train.py format. #66
• Separate get dataset methods into data files; Add initialization operation. by @chairc in Separate get dataset methods into data files; Add initialization operation. #67
• Update: Modify repository structure, parameter explanation and citation. by @chairc in Update: Modify repository structure, parameter explanation and citation. #68
• Add: Add better FID calculator to verify image quality. by @chairc in Add: Add better FID calculator to verify image quality. #69
• Update: Modify the citation link. by @chairc in Update: Modify the citation link. #70
• Add: Add Evaluation in README. by @chairc in Add: Add Evaluation in README. #71
• Update: Modify type description error in README. by @chairc in Update: Modify type description error in README. #72

New Contributors

• @EdwardTj made their contribution in Update:Add Pytorch_fid in requirements.txt #65
• @egoist945402376 made their contribution in FID calculator used for evaluating generated images. #64

Weights

Note: The weight include model, ema_model and optimizer.

• celebahq-120-weight.pt: Trained on a dataset of 30,000 people face, and image size is 120
• animate-ganyu-120-weight.pt: Trained on a dataset of 500 animate ganyu face, and image size is 120
• neu-120-weight.pt: Trained on a dataset of 1,800 defect, and image size is 120
• cifar-64-weight.pt: Trained on a dataset of 60,000 images, and image size is 64
• animate-face-64-weight.pt: Trained on a dataset of 2,434 animate face, and image size is 64 (coming soon)

Full Changelog: v1.1.4...v1.1.5

---

This discussion was created from the release IDDM v1.1.5.