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 701–725 of 1008 papers

TitleStatusHype
Deep Perceptual Image Quality Assessment for Compression—0
An Implementation of Vector Quantization using the Genetic Algorithm Approach—0
Pre-demosaic Graph-based Light Field Image Compression—0
CLNet: Complex Input Lightweight Neural Network designed for Massive MIMO CSI FeedbackCode1
Discrete Cosine Transform in JPEG Compression—0
Progressive Neural Image Compression with Nested Quantization and Latent Ordering—0
JPEG Meets PDE-based Image Compression—0
Image Compression with Encoder-Decoder Matched Semantic SegmentationCode0
Overfitting for Fun and Profit: Instance-Adaptive Data Compression—0
Neural Image Compression via Attentional Multi-Scale Back Projection and Frequency Decomposition—0
Learned Multi-Resolution Variable-Rate Image Compression with Octave-based Residual Blocks—0
Consolidated Dataset and Metrics for High-Dynamic-Range Image Quality—0
Learned Block-based Hybrid Image Compression—0
Learned Video Codec with Enriched Reconstruction for CLIC P-frame Coding—0
Soft Compression for Lossless Image Coding—0
How to Exploit the Transferability of Learned Image Compression to Conventional Codecs—0
Applying Convolutional Neural Networks to Data on Unstructured Meshes with Space-Filling CurvesCode0
Causal Contextual Prediction for Learned Image Compression—0
End-to-end optimized image compression for machines, a study—0
CompressAI: a PyTorch library and evaluation platform for end-to-end compression researchCode1
A Systematic Evaluation of Coding Strategies for Sparse Binary Images—0
Learning Accurate Entropy Model with Global Reference for Image CompressionCode1
Regularized Compression of MRI Data: Modular Optimization of Joint Reconstruction and Coding—0
Descriptive analysis of computational methods for automating mammograms with practical applications—0
Compressing Images by Encoding Their Latent Representations with Relative Entropy CodingCode1
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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