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 451–475 of 1008 papers

TitleStatusHype
Deep Decoding of _-coded Light Field Images—0
Analysis of Neural Image Compression Networks for Machine-to-Machine Communication—0
HLIC: Harmonizing Optimization Metrics in Learned Image Compression by Reinforcement Learning—0
How to Exploit the Transferability of Learned Image Compression to Conventional Codecs—0
Human Perceptual Evaluations for Image Compression—0
Towards improved lossy image compression: Human image reconstruction with public-domain images—0
HybridFlow: Infusing Continuity into Masked Codebook for Extreme Low-Bitrate Image Compression—0
Hybrid Model-based / Data-driven Graph Transform for Image Coding—0
Implicit Neural Multiple Description for DNA-based data storage—0
Improved Wavelets for Image Compression from Unitary Circuits—0
Interleaved Block-based Learned Image Compression with Feature Enhancement and Quantization Error Compensation—0
Hyperspectral Image Compression Using Implicit Neural Representation—0
A GAN-based Tunable Image Compression System—0
HySpecNet-11k: A Large-Scale Hyperspectral Dataset for Benchmarking Learning-Based Hyperspectral Image Compression Methods—0
End-to-End Optimized Image Compression with the Frequency-Oriented Transform—0
Identity Preserving Loss for Learned Image Compression—0
Image Generative Semantic Communication with Multi-Modal Similarity Estimation for Resource-Limited Networks—0
Image and Video Compression using Generative Sparse Representation with Fidelity Controls—0
Combining Progressive Image Compression and Random Access in DNA Data Storage—0
End-to-end optimized image compression for multiple machine tasks—0
Accelerating block-level rate control for learned image compression—0
Image Compression and Classification Using Qubits and Quantum Deep Learning—0
Image Compression Based on Compressive Sensing: End-to-End Comparison with JPEG—0
Image Compression By Embedding Five Modulus Method Into JPEG—0
Image-GS: Content-Adaptive Image Representation via 2D Gaussians—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