ZohebAbai/tf-focal-frequency-loss
Tensorflow Implementation of Focal Frequency Loss for Image Reconstruction and Synthesis [ICCV 2021]
This is a tool for machine learning researchers and engineers working on image generation and reconstruction. It takes a generated image and a real image as input, then calculates a 'focal frequency loss' to help your generative model produce more realistic images. The output is a loss value that guides your model to better synthesize image details, especially in the frequency domain. It's for those developing or fine-tuning models like VAE, pix2pix, or StyleGAN2.
No commits in the last 6 months. Available on PyPI.
Use this if you are developing or training a deep learning model for image reconstruction or synthesis and want to improve the perceptual quality and detail of the generated images.
Not ideal if you are a practitioner looking for a ready-to-use application to process images, rather than a component for building generative models.
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Python
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MIT
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Last pushed
May 30, 2022
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