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 926–950 of 1008 papers

TitleStatusHype
Quantization Guided JPEG Artifact CorrectionCode0
A Learned Pixel-by-Pixel Lossless Image Compression Method with 59K Parameters and Parallel DecodingCode0
An End-to-End Joint Learning Scheme of Image Compression and Quality Enhancement with Improved Entropy MinimizationCode0
Make Lossy Compression Meaningful for Low-Light ImagesCode0
Intrinsic Image Transfer for Illumination ManipulationCode0
Evaluation of Intra-coding based image compression.Code0
Estimating the Resize Parameter in End-to-end Learned Image CompressionCode0
An End-to-End Compression Framework Based on Convolutional Neural NetworksCode0
AdaNIC: Towards Practical Neural Image Compression via Dynamic Transform RoutingCode0
Rapid-INR: Storage Efficient CPU-free DNN Training Using Implicit Neural RepresentationCode0
Improving Statistical Fidelity for Neural Image Compression with Implicit Local Likelihood ModelsCode0
Ultra-Low Complexity On-Orbit Compression for Remote Sensing Imagery via Block Modulated ImagingCode0
Deep Generative Models for Distribution-Preserving Lossy CompressionCode0
Multistage Spatial Context Models for Learned Image CompressionCode0
Deep Convolutional AutoEncoder-based Lossy Image CompressionCode0
Enhancing Learned Image Compression via Cross Window-based AttentionCode0
Towards Backward-Compatible Continual Learning of Image CompressionCode0
An efficient deep convolutional laplacian pyramid architecture for CS reconstruction at low sampling ratiosCode0
Understanding the Vulnerability of CLIP to Image CompressionCode0
Image Compression With Learned Lifting-Based DWT and Learned Tree-Based Entropy ModelsCode0
Image Compression with Encoder-Decoder Matched Semantic SegmentationCode0
Energy-Aware JPEG Image Compression: A Multi-Objective ApproachCode0
Neural Image Compression and ExplanationCode0
Neural Image Compression for Gigapixel Histopathology Image AnalysisCode0
Image Compression and Decompression Framework Based on Latent Diffusion Model for Breast MammographyCode0
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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