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 226–250 of 1008 papers

TitleStatusHype
Learning Content-Weighted Deep Image CompressionCode0
Learned Image Compression with Gaussian-Laplacian-Logistic Mixture Model and Concatenated Residual ModulesCode0
Learned Lossless Image Compression Through Interpolation With Low ComplexityCode0
Context-adaptive neural network based prediction for image compressionCode0
Learned Image Compression and Restoration for Digital PathologyCode0
Localization of Just Noticeable Difference for Image CompressionCode0
Recovering Sign Bits of DCT Coefficients in Digital Images as an Optimization ProblemCode0
Make Lossy Compression Meaningful for Low-Light ImagesCode0
JPD-SE: High-Level Semantics for Joint Perception-Distortion Enhancement in Image CompressionCode0
A Learned Pixel-by-Pixel Lossless Image Compression Method with 59K Parameters and Parallel DecodingCode0
JPEG Inspired Deep LearningCode0
Intrinsic Image Transfer for Illumination ManipulationCode0
Conditional Probability Models for Deep Image CompressionCode0
Improving Statistical Fidelity for Neural Image Compression with Implicit Local Likelihood ModelsCode0
Image Compression With Learned Lifting-Based DWT and Learned Tree-Based Entropy ModelsCode0
Image Compression with Encoder-Decoder Matched Semantic SegmentationCode0
Image Compression and Decompression Framework Based on Latent Diffusion Model for Breast MammographyCode0
An efficient deep convolutional laplacian pyramid architecture for CS reconstruction at low sampling ratiosCode0
Practical Full Resolution Learned Lossless Image CompressionCode0
HiLLoC: Lossless Image Compression with Hierarchical Latent Variable ModelsCode0
PrivEdge: From Local to Distributed Private Training and PredictionCode0
High-throughput Onboard Hyperspectral Image Compression with Ground-based CNN ReconstructionCode0
HeartSpot: Privatized and Explainable Data Compression for Cardiomegaly DetectionCode0
Generative Adversarial Networks for Extreme Learned Image CompressionCode0
GABIC: Graph-based Attention Block for Image CompressionCode0
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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