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 476–500 of 1008 papers

TitleStatusHype
Extreme Generative Image Compression by Learning Text Embedding from Diffusion Models—0
MLIC: Multi-Reference Entropy Model for Learned Image CompressionCode1
A Comprehensive Survey of Transformers for Computer Vision—0
Selective compression learning of latent representations for variable-rate image compressionCode1
Rate-Distortion Optimized Post-Training Quantization for Learned Image Compression—0
Recovering Sign Bits of DCT Coefficients in Digital Images as an Optimization ProblemCode0
Universal Deep Image Compression via Content-Adaptive Optimization with AdaptersCode1
On the detection of synthetic images generated by diffusion modelsCode2
Improving Multi-generation Robustness of Learned Image Compression—0
SINCO: A Novel structural regularizer for image compression using implicit neural representations—0
Optimising Different Feature Types for Inpainting-based Image Representations—0
Robust Singular Values based on L1-norm PCA—0
Towards Dynamic Fault Tolerance for Hardware-Implemented Artificial Neural Networks: A Deep Learning Approach—0
QMRNet: Quality Metric Regression for EO Image Quality Assessment and Super-ResolutionCode0
Reducing The Mismatch Between Marginal and Learned Distributions in Neural Video Compression—0
Attention-Based Generative Neural Image Compression on Solar Dynamics Observatory—0
Improving The Reconstruction Quality by Overfitted Decoder Bias in Neural Image Compression—0
Visually Similar Products Retrieval for Shopsy—0
Invertible Rescaling Network and Its ExtensionsCode2
Leveraging progressive model and overfitting for efficient learned image compression—0
GOLLIC: Learning Global Context beyond Patches for Lossless High-Resolution Image Compression—0
HeartSpot: Privatized and Explainable Data Compression for Cardiomegaly DetectionCode0
Multi-Sample Training for Neural Image Compression—0
Flexible Neural Image Compression via Code Editing—0
Data Efficient Visual Place Recognition Using Extremely JPEG-Compressed Images—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