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 776–800 of 1008 papers

TitleStatusHype
Modeling Lost Information in Lossy Image Compression—0
A Multiparametric Class of Low-complexity Transforms for Image and Video Coding—0
Concatenated Attention Neural Network for Image Restoration—0
Fourth-Order Anisotropic Diffusion for Inpainting and Image Compression—0
An Unsupervised Information-Theoretic Perceptual Quality Metric—0
Scale-Space Flow for End-to-End Optimized Video Compression—0
A Spatial RNN Codec for End-to-End Image 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
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
Image compression optimized for 3D reconstruction by utilizing deep neural networks—0
Light Field Image Coding Using Dual Discriminator Generative Adversarial Network and VVC Temporal Scalability—0
Object-Based Image Coding: A Learning-Driven Revisit—0
Development of On Board Computer for a Nanosatellite—0
Optimizing JPEG Quantization for Classification 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