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 551–575 of 1008 papers

TitleStatusHype
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
Content-oriented learned image compression—0
Contextformer: A Transformer with Spatio-Channel Attention for Context Modeling in Learned Image Compression—0
Continuous Patch Stitching for Block-wise Image Compression—0
Controllable Distortion-Perception Tradeoff Through Latent Diffusion for Neural Image Compression—0
ConvNeXt-ChARM: ConvNeXt-based Transform for Efficient Neural Image Compression—0
Convolutional Transformer-Based Image Compression—0
Convolutional variational autoencoders for secure lossy image compression in remote sensing—0
Cool-Chic: Perceptually Tuned Low Complexity Overfitted Image Coder—0
Corner-to-Center Long-range Context Model for Efficient Learned Image Compression—0
Correcting Diffusion-Based Perceptual Image Compression with Privileged End-to-End Decoder—0
Countering Personalized Text-to-Image Generation with Influence Watermarks—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