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 751–775 of 1008 papers

TitleStatusHype
Fourth-Order Anisotropic Diffusion for Inpainting and Image Compression—0
High-Fidelity Generative Image CompressionCode1
An Unsupervised Information-Theoretic Perceptual Quality Metric—0
Neural Sparse Representation for Image RestorationCode1
Improving Inference for Neural Image CompressionCode1
Variational Quantum Singular Value DecompositionCode1
A Spatial RNN Codec for End-to-End Image Compression—0
Scale-Space Flow for End-to-End Optimized Video Compression—0
JPD-SE: High-Level Semantics for Joint Perception-Distortion Enhancement in Image CompressionCode0
Adapting JPEG XS gains and priorities to tasks and contents—0
Learning Context-Based Non-local Entropy Modeling for Image Compression—0
Lossy Compression with Distortion Constrained Optimization—0
Comparison of Image Quality Models for Optimization of Image Processing SystemsCode1
You Only Train Once: Loss-Conditional Training of Deep Networks—0
Distributed Learning and Inference with Compressed Images—0
Towards Analysis-friendly Face Representation with Scalable Feature and Texture Compression—0
3-D Context Entropy Model for Improved Practical Image Compression—0
Quantization Guided JPEG Artifact CorrectionCode0
Extending Unsupervised Neural Image Compression With Supervised Multitask Learning—0
PrivEdge: From Local to Distributed Private Training and PredictionCode0
Variable Rate Video Compression using a Hybrid Recurrent Convolutional Learning Framework—0
Exploiting context dependence for image compression with upsampling—0
Lossless Image Compression through Super-ResolutionCode2
Light Field Image Coding Using Dual Discriminator Generative Adversarial Network and VVC Temporal Scalability—0
Image compression optimized for 3D reconstruction by utilizing deep neural networks—0
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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