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
Lossless Image Compression Using a Multi-Scale Progressive Statistical Model—0
Lossless Image Compression Using Multi-level Dictionaries: Binary Images—0
Lossless Microarray Image Compression by Hardware Array Compactor—0
Lossy Compression with Distortion Constrained Optimization—0
Lossy Image Compression with Foundation Diffusion Models—0
Lossy Image Compression with Normalizing Flows—0
Lossy Medical Image Compression using Residual Learning-based Dual Autoencoder Model—0
Lost in Compression: the Impact of Lossy Image Compression on Variable Size Object Detection within Infrared Imagery—0
Low-complexity Rounded KLT Approximation for Image Compression—0
Low-complexity Three-dimensional Discrete Hartley Transform Approximations for Medical Image Compression—0
LVQAC: Lattice Vector Quantization Coupled with Spatially Adaptive Companding for Efficient Learned Image Compression—0
M2T: Masking Transformers Twice for Faster Decoding—0
Machine Perception-Driven Image Compression: A Layered Generative Approach—0
MarsQE: Semantic-Informed Quality Enhancement for Compressed Martian Image—0
Maximal Volume Matrix Cross Approximation for Image Compression and Least Squares Solution—0
Measuring Human Assessed Complexity in Synthetic Aperture Sonar Imagery Using the Elo Rating System—0
Memory-Efficient Learned Image Compression with Pruned Hyperprior Module—0
Mitigating Challenges of the Space Environment for Onboard Artificial Intelligence: Design Overview of the Imaging Payload on SpIRIT—0
Mixed-Resolution Image Representation and Compression with Convolutional Neural Networks—0
MLICv2: Enhanced Multi-Reference Entropy Modeling for Learned Image Compression—0
Model-based Iterative Restoration for Binary Document Image Compression with Dictionary Learning—0
Modeling Lost Information in Lossy Image Compression—0
ModeNet: Mode Selection Network For Learned Video Coding—0
Modified Fast Fractal Image Compression Algorithm in spatial domain—0
MONCAE: Multi-Objective Neuroevolution of Convolutional Autoencoders—0
Show:102550
← PrevPage 31 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