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 251–275 of 1008 papers

TitleStatusHype
LimitNet: Progressive, Content-Aware Image Offloading for Extremely Weak Devices & NetworksCode0
Intrinsic Image Transfer for Illumination ManipulationCode0
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
Compressed learning based onboard semantic compression for remote sensing platformsCode0
An End-to-End Joint Learning Scheme of Image Compression and Quality Enhancement with Improved Entropy MinimizationCode0
Image Compression with Encoder-Decoder Matched Semantic SegmentationCode0
Comprehensive Comparisons of Uniform Quantization in Deep Image CompressionCode0
HiLLoC: Lossless Image Compression with Hierarchical Latent Variable ModelsCode0
Image Compression and Decompression Framework Based on Latent Diffusion Model for Breast MammographyCode0
Applying Convolutional Neural Networks to Data on Unstructured Meshes with Space-Filling CurvesCode0
CompaCT: Fractal-Based Heuristic Pixel Segmentation for Lossless Compression of High-Color DICOM Medical ImagesCode0
High-throughput Onboard Hyperspectral Image Compression with Ground-based CNN ReconstructionCode0
ComDefend: An Efficient Image Compression Model to Defend Adversarial ExamplesCode0
An Underparametrized Deep Decoder Architecture for Graph SignalsCode0
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
Generalized Octave Convolutions for Learned Multi-Frequency Image CompressionCode0
CocoNet: A deep neural network for mapping pixel coordinates to color valuesCode0
A Fast Quantum Image Compression Algorithm based on Taylor ExpansionCode0
Frequency-Guided Masking for Enhanced Vision Self-Supervised LearningCode0
Clinically Relevant Latent Space Embedding of Cancer Histopathology Slides through Variational Autoencoder Based Image CompressionCode0
Fractal image compression using upper bound on scaling parameterCode0
Higher fidelity perceptual image and video compression with a latent conditioned residual denoising diffusion modelCode0
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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