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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 126–150 of 1008 papers

TitleStatusHype
Learning Optimal Linear Block Transform by Rate Distortion Minimization—0
Learning Optimal Lattice Vector Quantizers for End-to-end Neural Image Compression—0
Variable-size Symmetry-based Graph Fourier Transforms for image compression—0
An Information-Theoretic Regularizer for Lossy Neural Image Compression—0
Image Compression Using Novel View Synthesis Priors—0
LMM-driven Semantic Image-Text Coding for Ultra Low-bitrate Learned Image CompressionCode1
Large Language Models for Lossless Image Compression: Next-Pixel Prediction in Language Space is All You Need—0
Exploring adversarial robustness of JPEG AI: methodology, comparison and new methods—0
Deep Learning-Based Image Compression for Wireless Communications: Impacts on Reliability,Throughput, and LatencyCode0
An End-to-End Real-World Camera Imaging Pipeline—0
Efficient Progressive Image Compression with Variance-aware MaskingCode0
JPEG AI Image Compression Visual Artifacts: Detection Methods and Dataset—0
Enhancing Learned Image Compression via Cross Window-based AttentionCode0
Conditional Hallucinations for Image Compression—0
Learning Lossless Compression for High Bit-Depth Volumetric Medical Image—0
FIPER: Generalizable Factorized Features for Robust Low-Level Vision Models—0
Test-time adaptation for image compression with distribution regularization—0
Towards Reproducible Learning-based Compression—0
Fine-grained subjective visual quality assessment for high-fidelity compressed imagesCode0
Fast Data-independent KLT Approximations Based on Integer Functions—0
Compressing high-resolution data through latent representation encoding for downscaling large-scale AI weather forecast model—0
Delta-ICM: Entropy Modeling with Delta Function for Learned Image Compression—0
JPEG Inspired Deep LearningCode0
Toward Scalable Image Feature Compression: A Content-Adaptive and Diffusion-Based Approach—0
Causal Context Adjustment Loss for Learned Image CompressionCode2
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All datasetskodakImageNet32BSDS500Caltech101Cars-196CIFAR-10FER2013Food-101Oxford-IIIT Pet DatasetPCamSTL-10

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1STFBD-Rate over VTM-17.0-2.48—Unverified
2WACNNBD-Rate over VTM-17.0-2.95—Unverified
3ELICBD-Rate over VTM-17.0-5.95—Unverified
4MLICBD-Rate over VTM-17.0-8.05—Unverified
5SegPICBD-Rate over VTM-17.0-8.18—Unverified
6LIC-TCM LargeBD-Rate over VTM-17.0-10.14—Unverified
7MLIC+BD-Rate over VTM-17.0-11.39—Unverified
8MLIC++BD-Rate over VTM-17.0-13.39—Unverified
#ModelMetricClaimedVerifiedStatus
1PNGbpsp6.42—Unverified
2JPEG2000bpsp6.35—Unverified
3L3Cbpsp4.76—Unverified
4MS-PixelCNNbpsp3.95—Unverified
5iFlowbpsp3.88—Unverified
#ModelMetricClaimedVerifiedStatus
1RK-CCSNetAverage PSNR30.51—Unverified
#ModelMetricClaimedVerifiedStatus
1Lossyless CompressorBit rate1,340—Unverified
#ModelMetricClaimedVerifiedStatus
1Lossyless CompressorBit rate1,470—Unverified
#ModelMetricClaimedVerifiedStatus
1Lossyless CompressorBit rate1,410—Unverified
#ModelMetricClaimedVerifiedStatus
1SUDHEER10%1—Unverified
#ModelMetricClaimedVerifiedStatus
1Lossyless CompressorBit rate1,270—Unverified
#ModelMetricClaimedVerifiedStatus
1Lossyless CompressorBit rate1,210—Unverified
#ModelMetricClaimedVerifiedStatus
1Lossyless CompressorBit rate1,490—Unverified
#ModelMetricClaimedVerifiedStatus
1Lossyless CompressorBit rate1,340—Unverified