anantzoid/Conditional-PixelCNN-decoder
Tensorflow implementation of Gated Conditional Pixel Convolutional Neural Network
This tool helps machine learning engineers and researchers generate new images or reconstruct existing ones from a compact representation. You provide a dataset of images, and it produces new, similar images based on specific conditions (like a class label) or acts as a powerful image decoder within autoencoders or GANs. It's ideal for those working on generative models.
480 stars. No commits in the last 6 months.
Use this if you need to generate high-quality images from scratch, conditional on specific attributes, or if you want a sophisticated decoder for image compression or transformation tasks within deep learning models.
Not ideal if you're not comfortable with deep learning frameworks like TensorFlow or if you need to generate images for real-time production without significant computational resources.
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480
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Language
Python
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Last pushed
Jun 18, 2018
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