compressai

Here are 7 public repositories matching this topic...

multimedialabsfu / learned-point-cloud-compression-for-classification

[MMSP 2023, PCS 2024]

deep-learning point-cloud pytorch papers research-paper pcs mmsp point-cloud-compression point-cloud-classification learned-compression compressai

Updated Feb 22, 2024
Python

multimedialabsfu / learned-compression-of-encoding-distributions

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[ICIP 2024] Lightweight distribution compression for neural image compression

deep-learning pytorch image-compression papers research-paper icip learned-compression learned-image-compression icip-2024 compressai

Updated Jun 25, 2024
Python

FABallemand / PRIM

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Research work on learned image compression

image compression compressai

Updated Sep 14, 2025
Python

yifeipet / AFP_GIC

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Official PyTorch implementation of AFP-GIC: controllable generative image compression with a single model for multiple bitrates.

pytorch low-latency image-compression rate-distortion neural-image-compression huggingface-spaces learned-image-compression generative-ai generative-compression variable-rate compressai generative-image-compression vq-gan neural-codecs controllable-compression variable-rate-image-compression perceptual-image-compression gan-based-compression controllable-image-compression

Updated Oct 12, 2026
Python

nikolabakic / jnd-lic-portraits

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Implementacija ključnih komponenti JND-LIC metode (Pan et al., 2025) zasnovana na CompressAI baseline-u, sa evaluacijom na portretima iz CelebA-HQ

deep-learning jupyter-notebook pytorch image-compression jnd celeba-hq compressai

Updated May 1, 2026
Jupyter Notebook

SciDataOcean / NeuroPack

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NeuroPack is a research-oriented neural compression toolkit for 3D microscopy volumes.

tiff pytorch image-compression volumetric-data 3d-microscopy compressai

Updated Jun 23, 2026
Python

Hethvardhan19 / neural-vs-traditional-image-compression

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The following project is an analytical analysis which compares deep learned image compression (CompressAI, Conv2D Autoencoder) against traditional codecs (JPEG, PNG) on CIFAR-10 on the basis of the benchmarks: rate-distortion and latency.

benchmark png tensorflow jpeg autoencoder image-compression cifar-10 rate-distortion pytorch-implementation computer-vision-opencv compressai

Updated Aug 6, 2026
Python

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