SOTAVerified

Image Compression

Image Compression is an application of data compression for digital images to lower their storage and/or transmission requirements.

Source: Variable Rate Deep Image Compression With a Conditional Autoencoder

Papers

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Showing 1–10 of 1008 papers

TitleStatusHype
Perception-Oriented Latent Coding for High-Performance Compressed Domain Semantic InferenceCode0
Explicit Residual-Based Scalable Image Coding for Humans and Machines—0
NIC-RobustBench: A Comprehensive Open-Source Toolkit for Neural Image Compression and Robustness AnalysisCode1
LVPNet: A Latent-variable-based Prediction-driven End-to-end Framework for Lossless Compression of Medical ImagesCode0
Fast Training-free Perceptual Image Compression—0
DiffO: Single-step Diffusion for Image Compression at Ultra-Low BitratesCode1
ABC: Adaptive BayesNet Structure Learning for Computational Scalable Multi-task Image CompressionCode0
Breaking the Multi-Enhancement Bottleneck: Domain-Consistent Quality Enhancement for Compressed Images—0
Optimizing Learned Image Compression on Scalar and Entropy-Constraint Quantization—0
Flexible Mixed Precision Quantization for Learned Image CompressionCode0
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All datasetskodakImageNet32BSDS500Caltech101Cars-196CIFAR-10FER2013Food-101Oxford-IIIT Pet DatasetPCamSTL-10

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1Lossyless CompressorBit rate1,490—Unverified