rese1f/Awesome-VQVAE
A collection of resources and papers on Vector Quantized Variational Autoencoder (VQ-VAE) and its application
This collection provides a central hub for understanding and applying Vector Quantized Variational Autoencoders (VQ-VAE). It brings together research papers and introductory blogs on how this technology processes visual information like images, videos, and 3D models to create new content, enhance existing media, or understand human poses. Researchers, machine learning engineers, and data scientists working on generative AI and media processing will find this valuable.
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Use this if you are a researcher or practitioner interested in the technical foundations and cutting-edge applications of VQ-VAE for various media generation and analysis tasks.
Not ideal if you are looking for ready-to-use software, code libraries, or high-level tutorials without diving into the underlying academic research.
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Jan 31, 2025
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