vqvae
Here are 23 public repositories matching this topic...
OmniTokenizer: one model and one weight for image-video joint tokenization.
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Jul 9, 2024 - Python
A Collection of Variational Autoencoders (VAE) in PyTorch.
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Jun 13, 2024 - Python
VQ-VAE/GAN implementation in pytorch-lightning
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May 9, 2024 - Python
Accepted to IEEE Robotics and Automation Letters (RA-L) April 2024
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Apr 5, 2024 - Python
Improving Semantic Control in Discrete Latent Spaces with Transformer Quantized Variational Autoencoders
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Feb 26, 2024 - Python
Compression via Vector Quantization in PyTorch
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Feb 22, 2024 - Python
VQGAN from LDM without hell of dependencies
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Jan 28, 2024 - Python
Demo of robust semantic communication against semantic noise
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Nov 2, 2023 - Python
Experimental implementation for a sparse-dictionary based version of the VQ-VAE2 paper
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Oct 27, 2023 - Python
Fast and scalable search of whole-slide images via self-supervised deep learning - Nature Biomedical Engineering
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Jun 9, 2023 - Python
Official code for the NeurIPS 2022 paper "Posterior Matching for Arbitrary Conditioning".
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Apr 26, 2023 - Python
Large-Scale Bidirectional Training for Zero-Shot Image Captioning
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Feb 14, 2023 - Python
Language Quantized AutoEncoders
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Feb 7, 2023 - Python
Inverse DALL-E for Optical Character Recognition
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Oct 14, 2022 - Python
A toolkit for non-parallel voice conversion based on vector-quantized variational autoencoder
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Sep 3, 2021 - Python
An educational project dedicated to text-to-image generation with neural networks. VQVAE and BPE autoencoders are used to learn the embedding of text and image respectively. A transformer-based model then is trained to predict the next token in the concatenated sequence of image and text tokens and used for generation.
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Jun 8, 2021 - Python
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