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 701–725 of 1008 papers

TitleStatusHype
Optimizing Data Processing in Space for Object Detection in Satellite Imagery—0
Pragmatic Image Compression for Human-in-the-Loop Decision-MakingCode0
Intrinsic Image Transfer for Illumination ManipulationCode0
Cascade Decoders-Based Autoencoders for Image Reconstruction—0
Comparison of Lossless Image Formats—0
Rate Distortion Characteristic Modeling for Neural Image Compression—0
Learning-Based Practical Light Field Image Compression Using A Disparity-Aware ModelCode0
Wide Receptive Field and Channel Attention Network for JPEG Compressed Image DeblurringCode0
Learning Scalable lY=-Constrained Near-Lossless Image Compression via Joint Lossy Image and Residual Compression—0
Reversible Colour Density Compression of Images using cGANsCode0
Universal Rate-Distortion-Perception Representations for Lossy CompressionCode0
MONCAE: Multi-Objective Neuroevolution of Convolutional Autoencoders—0
DeepCompress: Efficient Point Cloud Geometry CompressionCode0
CBANet: Towards Complexity and Bitrate Adaptive Deep Image Compression using a Single Network—0
Exploring Autoencoder-based Error-bounded Compression for Scientific Data—0
Self-Organized Variational Autoencoders (Self-VAE) for Learned Image Compression—0
Coding Standards as Anchors for the CVPR CLIC video track—0
Substitutional Neural Image Compression—0
Neural 3D Scene Compression via Model Compression—0
Efficient Data Optimisation for Harmonic Inpainting with Finite Elements—0
A Practical Approach for Rate-Distortion-Perception Analysis in Learned Image Compression—0
DANICE: Domain adaptation without forgetting in neural image compression—0
Learning-based Compression for Material and Texture Recognition—0
Conditional Coding for Flexible Learned Video Compression—0
Soft then Hard: Rethinking the Quantization in Neural Image Compression—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