Implementation of Generating Diverse High-Fidelity Images with VQ-VAE-2 in PyTorch

PyTorch implementation of VQ-VAE-2 from "Generating Diverse High-Fidelity Images with VQ-VAE-2"

3D VQ-VAE-2 for high-resolution CT scan synthesis

Implementation of the framework described in the paper Spectrogram Inpainting for Interactive Generation of Instrument Sounds published at the 2020 Joint Conference on AI Music Creativity.

2D Vector-Quantized Auto-Encoder for compression of Whole-Slide Images in Histopathology

Rate-Adaptive Quantization: A Multi-Rate Codebook Adaptation for Vector Quantization-based Generative Models

Unofficial PyTorch implementation of the Vector-Quantized Variational AutoEncoder (VQ-VAE) architecture and its hierarchical variant (VQ-VAE-2)