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 851–875 of 1008 papers

TitleStatusHype
A Hybrid Approach Between Adversarial Generative Networks and Actor-Critic Policy Gradient for Low Rate High-Resolution Image Compression—0
Towards Lossless Encoding of SentencesCode0
Content Adaptive Optimization for Neural Image Compression—0
Attention Based Image Compression Post-Processing Convolutional Neural Network—0
A Compression Objective and a Cycle Loss for Neural Image Compression—0
Generative Imaging and Image Processing via Generative Encoder—0
FPGA-based Binocular Image Feature Extraction and Matching System—0
Compressing Weight-updates for Image Artifacts Removal Neural Networks—0
Two-layer Near-lossless HDR Coding with Backward Compatibility to JPEG—0
X-Ray Image Compression Using Convolutional Recurrent Neural Networks—0
JPEG XT Image Compression with Hue Compensation for Two-Layer HDR Coding—0
Non-local Attention Optimized Deep Image Compression—0
Deep AutoEncoder-based Lossy Geometry Compression for Point Clouds—0
Machine Vision Guided 3D Medical Image Compression for Efficient Transmission and Accurate Segmentation in the Clouds—0
Extreme Image Coding via Multiscale Autoencoders With Generative Adversarial Optimization—0
Place-specific Background Modeling Using Recursive Autoencoders—0
Deep Predictive Video Compression with Bi-directional Prediction—0
Learning Content-Weighted Deep Image CompressionCode0
DRASIC: Distributed Recurrent Autoencoder for Scalable Image CompressionCode0
Scalable Facial Image Compression with Deep Feature Reconstruction—0
Gated Context Model with Embedded Priors for Deep Image Compression—0
An Autoencoder-based Learned Image Compressor: Description of Challenge Proposal by NCTU—0
GAN- vs. JPEG2000 Image Compression for Distributed Automotive Perception: Higher Peak SNR Does Not Mean Better Semantic Segmentation—0
A study for Image compression using Re-Pair algorithm—0
Fast and Efficient Lenslet Image Compression—0
Show:102550
← PrevPage 35 of 41Next →
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