MMGeneration v0.7.3 Released

Fix bugs and Improvements

• Fix SiLU activation (#447)
• Support Perceptual Loss (#471)
• Fix tensor and index aren't on the same device error (#476)

New Contributors

• @zeakey made their first contribution in #446
• @Taited made their first contribution in #471
• @zengyh1900 made their first contribution in #467
• @vansin made their first contribution in #487
• @LeeTeng2001 made their first contribution in #490
• @Z-Fran made their first contribution in #497

Full Changelog: v0.7.2...v0.7.3

MMGeneration v0.7.2 Released

Improvements

• [Docs] Fix typos in docs. by @RangeKing in #425
• [Docs] Add doc for StyleGAN-Ada by @plyfager in #391
• [Fix] Update MMCV_MAX to 1.7 by @LeoXing1996 in #436
• [CI] update github workflow, circleci and github templates by @LeoXing1996 in #431

New Contributors

• @RangeKing made their first contribution in #425

Bump to version V1.0.0rc0

MMGeneration 1.0.0rc0 is the first version of MMGeneration 1.x, a part of the OpenMMLab 2.0 projects.

Built upon the new training engine, MMGeneration 1.x unifies the interfaces of dataset, models, evaluation, and visualization.

And there are some BC-breaking changes. Please check the migration tutorial for more details.

MMGeneration v0.7.1 Released

Fix bugs and Improvements

• Support train_dataloader, val_dataloader and test_dataloader settings (#281)
• Fix ada typo (#283)
• Add chinese application tutorial (#284)
• Add chinese document of ddp training (#286)

Contributors

@plyfager @LeoXing1996

MMGeneration v0.7.0 Released

Highlights

• Support training of StyleGANv3 (#275, #277)
• Support adaptive discriminator augmentation (#276)

New Features

• Support passing training arguments in static unconditional gan (#275)
• Support dynamic EMA, now you can define momentum updating policy (#261)
• Add multi machine distribute train (#267)

Fix bugs and Improvements

• Add brief installation steps in README (#270)
• Support random seed for distributed sampler (#271)
• Use hyphen for command line args in apps (#273)

Contributors

@plyfager @LeoXing1996

MMGeneration v0.6.0 Released

Highlights

• Support StyleGANv3 (#247, #253, #258)
• Support StyleCLIP (#236)

New Features

• Support training on CPU (#238)
• Speed up training (#231)

Fix bugs and Improvements

• Fix bug in non-distributed training/testing (#239)
• Fix typos and invalid links (#221, #226, #228, #244, #249)
• Add part of Chinese documentation (#250, #257)

Contributors

@plyfager @LeoXing1996 @gvalvano @JimHeo @plutoyuxie

MMGeneration v0.5.0 Released

Highlights

• Support BigGAN style's Spectral Norm and update BigGAN with best FID and IS (#159)
• Support import projected latent and export video in interpolation (#167)
• Support Improved-DDPM model (#205)

New Features

• Support evaluation in distributed mode (#151)
• Support presistent_work in validation dataloader (#179)
• Support dockerfile (#200)
• Support mim (#176)

Fix bugs and Improvements

• Fix bug in SinGAN dataset (#192)
• Fix SAGAN, SNGAN and BigGAN's default sn_style (#199, #213, #215, #217)

Contributors

@plyfager @LeoXing1996 @nbei @TommyZihao @JiangongWang

MMGeneration v0.4.0 Released

Highlights

• Add more experiments for conditional GANs: SNGAN, SAGAN, and BigGAN
• Refact Translation Model (#88, #126, #127, #145)

New Features

• Use PyTorch Sphinx theme #123
• Support torchserve for unconditional models #131

Fix bugs and Improvements

• Add CI for python3.9 #110
• Add support for PyTorch1.9 #115
• Add pre-commit hook for spell checking #135

Contributors

@plyfager , @LeoXing1996 , @ckkelvinchan , @nbei

MMGeneration v0.3.0 Released

Highlights

• Support conditional GANs: Projection GAN, SNGAN, SAGAN, and BigGAN

New Features

• Add support for persistent_workers in PyTorch >= 1.7.0 #71
• Support warm-up for EMA #55

Fix bugs and Improvements

• Fix failing to build docs #64
• Revise the logic of num_classes in basic conditional gan #69
• Support dynamic eval internal in eval hook #73

MMGeneration v0.2.0 Released

Highlights

• Support new methods: LSGAN, GGAN.
• Support mixed-precision training (FP16): official PyTorch Implementation and APEX (#11, #20)

New Features

• Add the experiment of MNIST in DCGAN (#24)
• Add support for uploading checkpoints to Ceph system (cloud server) (#27)
• Add the functionality of saving the best checkpoint in GenerativeEvalHook (#21)

Fix bugs and Improvements

• Fix loss of sample-cfg argument (#13)
• Add pbar to offline eval and fix bug in grayscale image evaluation/saving (#23)
• Fix error when data_root option in val_cfg or test_cfg are set as None (#28)
• Change latex in quick_run.md to svg url and fix number of checkpoints in modelzoo_statistics.md (#34)