vqvae
Here are 31 public repositories matching this topic...
Accepted to IEEE Robotics and Automation Letters (RA-L) April 2024
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Apr 5, 2024 - 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
Compression via Vector Quantization in PyTorch
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Feb 22, 2024 - Python
State of the art of generative models and in-depth study of diffusion models
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Sep 7, 2023 - Jupyter Notebook
Official code for the NeurIPS 2022 paper "Posterior Matching for Arbitrary Conditioning".
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Apr 26, 2023 - Python
Improving Semantic Control in Discrete Latent Spaces with Transformer Quantized Variational Autoencoders
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Feb 26, 2024 - Python
VQGAN from LDM without hell of dependencies
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Jan 28, 2024 - Python
implementation of VQVAE in pytorch
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Jul 11, 2020 - Jupyter Notebook
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Aug 22, 2020 - Python
Implementation of basic autoencodeur, VAE and VQVAE in Flax
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Nov 9, 2023 - Jupyter Notebook
SignAvatars: A Large-scale 3D Sign Language Holistic Motion Dataset and Benchmark
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Nov 23, 2023
Applying multiple VQ along the feature axis
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Apr 19, 2020 - Jupyter Notebook
Image Generation using VQVAE and GPT Models
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May 17, 2023 - Jupyter Notebook
Large-Scale Bidirectional Training for Zero-Shot Image Captioning
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Feb 14, 2023 - Python
Tensorflow Implementation of "Theory and Experiments on Vector Quantized Autoencoders"
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Feb 27, 2019 - Python
VQ-VAE/GAN implementation in pytorch-lightning
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May 9, 2024 - Python
OmniTokenizer: one model and one weight for image-video joint tokenization.
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Jul 9, 2024 - Python
Language Quantized AutoEncoders
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Feb 7, 2023 - Python
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