Vector (and Scalar) Quantization, in Pytorch
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Updated
Aug 29, 2025 - Python
Vector (and Scalar) Quantization, in Pytorch
🔴 MiniSom is a minimalistic implementation of the Self Organizing Maps
[CVPR 2025] 🔥 Official impl. of "TokenFlow: Unified Image Tokenizer for Multimodal Understanding and Generation".
ECCV 2022, Oral, VQFR: Blind Face Restoration with Vector-Quantized Dictionary and Parallel Decoder
[ICCV 2025] SimVQ: Addressing Representation Collapse in Vector Quantized Models with One Linear Layer
⚡ A fast embedded library for approximate nearest neighbor search
Pytorch implementation of stochastically quantized variational autoencoder (SQ-VAE)
Implementation of TiTok, proposed by Bytedance in "An Image is Worth 32 Tokens for Reconstruction and Generation"
🔥 Official impl. of "DetailFlow: 1D Coarse-to-Fine Autoregressive Image Generation via Next-Detail Prediction"
Using ideas from product quantization for state-of-the-art neural network compression.
Official PyTorch implementation of QuantArt (CVPR2023)
Dice.com repo to accompany the dice.com 'Vectors in Search' talk by Simon Hughes, from the Activate 2018 search conference, and the 'Searching with Vectors' talk from Haystack 2019 (US). Builds upon my conceptual search and semantic search work from 2015
Towards training VQ-VAE models robustly!
Implementation of vector quantization algorithms, codes for Norm-Explicit Quantization: Improving Vector Quantization for Maximum Inner Product Search.
Explore how to get a VQ-VAE models efficiently!
A Pytorch Implementations for Various Vector Quantization Methods
VQ-TensoRF --- Official implementation of our CVPR 2023 paper "Compressing Volumetric Radiance Fields to 1 MB"
[ICASSPW] A Vector Quantized Masked AutoEncoder for speech emotion recognition
This is an official PyTorch implementation of "Gesture2Vec: Clustering Gestures using Representation Learning Methods for Co-speech Gesture Generation" (IROS 2022).
PyTorch implementation of VQ-VAE applied on CIFAR10 dataset
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