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

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Showing 101–125 of 1008 papers

TitleStatusHype
Distributed Deep Joint Source-Channel Coding over a Multiple Access ChannelCode1
Image Compression with Recurrent Neural Network and Generalized Divisive NormalizationCode1
CAMSIC: Content-aware Masked Image Modeling Transformer for Stereo Image CompressionCode1
A Unified End-to-End Framework for Efficient Deep Image CompressionCode1
Is JPEG AI going to change image forensics?Code1
Joint Autoregressive and Hierarchical Priors for Learned Image CompressionCode1
LDMIC: Learning-based Distributed Multi-view Image CodingCode1
Compressing Images by Encoding Their Latent Representations with Relative Entropy CodingCode1
Context-adaptive Entropy Model for End-to-end Optimized Image CompressionCode1
Learned Lossless Image Compression based on Bit Plane SlicingCode1
Learning to Improve Image Compression without Changing the Standard DecoderCode1
Learning to Structure an Image with Few ColorsCode1
Locally Masked Convolution for Autoregressive ModelsCode1
ANFIC: Image Compression Using Augmented Normalizing FlowsCode1
CompressAI: a PyTorch library and evaluation platform for end-to-end compression researchCode1
Context-Based Trit-Plane Coding for Progressive Image CompressionCode1
Bidirectional Stereo Image Compression with Cross-Dimensional Entropy ModelCode1
Lossy Image Compression with Quantized Hierarchical VAEsCode1
CMC-Bench: Towards a New Paradigm of Visual Signal CompressionCode1
3D-LMVIC: Learning-based Multi-View Image Coding with 3D Gaussian Geometric PriorsCode1
Microshift: An Efficient Image Compression Algorithm for HardwareCode1
MISC: Ultra-low Bitrate Image Semantic Compression Driven by Large Multimodal ModelCode1
MLIC: Multi-Reference Entropy Model for Learned Image CompressionCode1
Multi-Scale Invertible Neural Network for Wide-Range Variable-Rate Learned Image CompressionCode1
COIN: COmpression with Implicit Neural representationsCode1
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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