Changelog¶
v0.1.0 (20/04/2021)¶
Highlights
MMGeneration is released.
Main Features
High-quality Training Performance: We currently support training on Unconditional GANs (
DCGAN
,WGAN-GP
,PGGAN
,StyleGANV1
,StyleGANV2
,Positional Encoding in GANs
), Internal GANs (SinGAN
), and Image Translation Models (Pix2Pix
,CycleGAN
). Support for conditional models will come soon.Powerful Application Toolkit: A plentiful toolkit containing multiple applications in GANs is provided to users. GAN interpolation, GAN projection, and GAN manipulations are integrated into our framework. It’s time to play with your GANs!
Efficient Distributed Training for Generative Models: For the highly dynamic training in generative models, we adopt a new way to train dynamic models with
MMDDP
.New Modular Design for Flexible Combination: A new design for complex loss modules is proposed for customizing the links between modules, which can achieve flexible combination among different modules.
v0.2.0 (30/05/2021)¶
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)
v0.3.0 (02/08/2021)¶
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 #69Support dynamic eval internal in eval hook #73
v0.4.0 (03/11/2021)¶
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
v0.5.0 (12/01/2022)¶
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)
One face editing application build upon MMGen is released
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)
v0.6.0 (07/03/2022)¶
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)
v0.7.0 (02/04/2022)¶
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)
v0.7.1 (30/04/2022)¶
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)