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 801–825 of 1008 papers

TitleStatusHype
Combining Progressive Image Compression and Random Access in DNA Data Storage—0
Bridging Compressed Image Latents and Multimodal Large Language Models—0
Compact Latent Representation for Image Compression (CLRIC)—0
Comparison of Lossless Image Formats—0
COMPASS: High-Efficiency Deep Image Compression with Arbitrary-scale Spatial Scalability—0
Compressed image quality assessment using stacking—0
Compressed sensing of astronomical images:orthogonal wavelets domains—0
Compressible and Searchable: AI-native Multi-Modal Retrieval System with Learned Image Compression—0
Compressing high-resolution data through latent representation encoding for downscaling large-scale AI weather forecast model—0
Compressing Weight-updates for Image Artifacts Removal Neural Networks—0
Compression-Resistant Backdoor Attack against Deep Neural Networks—0
Compression, Restoration, Re-sampling, Compressive Sensing: Fast Transforms in Digital Imaging—0
Compression without Quantization—0
Computational ghost imaging with hybrid transforms by integrating Hadamard, discrete cosine, and Haar matrices—0
Computationally Efficient Neural Image Compression—0
Concatenated Attention Neural Network for Image Restoration—0
Conditional Coding for Flexible Learned Video Compression—0
Conditional Hallucinations for Image Compression—0
Conditional Neural Video Coding with Spatial-Temporal Super-Resolution—0
Conditional Perceptual Quality Preserving Image Compression—0
Consolidated Dataset and Metrics for High-Dynamic-Range Image Quality—0
Constrained Convolutional Sparse Coding for Parametric Based Reconstruction of Line Drawings—0
Content Adaptive Latents and Decoder for Neural Image Compression—0
Content Adaptive Optimization for Neural Image Compression—0
Content Based Image Indexing and Retrieval—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