exposure
Learning infinite-resolution image processing with GAN and RL from unpaired image datasets, using a differentiable photo editing model.
Learn to process high-resolution images using advanced techniques from unpaired datasets with this model.
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Free · no card · unsubscribe anytimeLearning infinite-resolution image processing with GAN and RL from unpaired image datasets, using a differentiable photo editing model.
exposure has 781 stars on GitHub. It has been forked 156 times. exposure is written mainly in Python. It has been in active development since 2018. exposure is available under the MIT license. Its main topics are computational-photography, deep-learning, gan, generative-adversarial-network.
What is exposure?
Learning infinite-resolution image processing with GAN and RL from unpaired image datasets, using a differentiable photo editing model.
Is exposure open source?
exposure is an open-source project. It is released under the MIT license.
Is exposure free?
Yes. exposure is free and open source — you can use, modify and self-host it.
What license does exposure use?
exposure is available under the MIT license.
What language is exposure written in?
exposure is written mainly in Python.
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