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 351–375 of 1008 papers

TitleStatusHype
Neural Compression of Atmospheric States—0
OMR-NET: a two-stage octave multi-scale residual network for screen content image compressionCode0
Rethinking Image Compression on the Web with Generative AI—0
Autoencoded Image Compression for Secure and Fast TransmissionCode0
QET: Enhancing Quantized LLM Parameters and KV cache Compression through Element Substitution and Residual Clustering—0
Image-GS: Content-Adaptive Image Representation via 2D Gaussians—0
A Study on the Effect of Color Spaces in Learned Image Compression—0
Learned Image Compression for HE-stained Histopathological Images via Stain Deconvolution—0
On Efficient Neural Network Architectures for Image CompressionCode0
Optimal Matrix-Mimetic Tensor Algebras via Variable ProjectionCode0
Image Compression with Isotropic and Anisotropic Shepard Inpainting—0
Region of Interest Loss for Anonymizing Learned Image CompressionCode0
PatchSVD: A Non-uniform SVD-based Image Compression AlgorithmCode0
Exploring Distortion Prior with Latent Diffusion Models for Remote Sensing Image CompressionCode0
Lossless Image Compression Using Multi-level Dictionaries: Binary Images—0
A Review of Pulse-Coupled Neural Network Applications in Computer Vision and Image Processing—0
UniCompress: Enhancing Multi-Data Medical Image Compression with Knowledge Distillation—0
Refining Coded Image in Human Vision Layer Using CNN-Based Post-Processing—0
Enhancing Perception Quality in Remote Sensing Image Compression via Invertible Neural Network—0
Sensitivity Decouple Learning for Image Compression Artifacts Reduction—0
On the Adversarial Robustness of Learning-based Image Compression Against Rate-Distortion Attacks—0
Group-aware Parameter-efficient Updating for Content-Adaptive Neural Video Compression—0
Neural Graphics Texture Compression Supporting Random Access—0
Computational ghost imaging with hybrid transforms by integrating Hadamard, discrete cosine, and Haar matrices—0
A Rate-Distortion-Classification Approach for Lossy 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