Introduction
MMGeneration is a powerful toolkit for generative models, especially for GANs now. It is based on PyTorch and MMCV.
Major Features
- High-quality Training Performance: We currently support training on Unconditional GANs, Internal GANs, and Image Translation Models. Support for conditional models will come soon.
- Powerful Application Toolkit: A plentiful toolkit containing multiple applications in GANs are provided to users. GAN interpolation, GAN projection, and GAN manipulations are integrated in 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.
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Training Visualization
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GAN Interpolation
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GAN Projector
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GAN Manipulation
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MMGeneration will be released on 2021/04/20.
Our new work, Positional Encoding as Spatial Inductive Bias in GANs accepted by CVPR2021, will also be released based on MMGeneration.