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 451–475 of 1008 papers

TitleStatusHype
Hypernetworks build Implicit Neural Representations of SoundsCode1
Hyperspectral Image Compression Using Implicit Neural Representation—0
Improving Statistical Fidelity for Neural Image Compression with Implicit Local Likelihood ModelsCode0
LDMIC: Learning-based Distributed Multi-view Image CodingCode1
A^2-UAV: Application-Aware Content and Network Optimization of Edge-Assisted UAV Systems—0
A Residual Diffusion Model for High Perceptual Quality Codec Augmentation—0
A Specific Task-oriented Semantic Image Communication System for substation patrol inspection—0
Frequency-aware Learned Image Compression for Quality Scalability—0
AdaNIC: Towards Practical Neural Image Compression via Dynamic Transform RoutingCode0
Dec-Adapter: Exploring Efficient Decoder-Side Adapter for Bridging Screen Content and Natural Image Compression—0
RFD-ECNet: Extreme Underwater Image Compression with Reference to Feature DictionaryCode0
AccelIR: Task-Aware Image Compression for Accelerating Neural Restoration—0
Towards Robust Tampered Text Detection in Document Image: New Dataset and New SolutionCode1
Multi-Realism Image Compression with a Conditional GeneratorCode1
Learned Lossless Image Compression Through Interpolation With Low ComplexityCode0
Content Adaptive Latents and Decoder for Neural Image Compression—0
Efficient Visual Computing with Camera RAW SnapshotsCode1
Image Compression with Product Quantized Masked Image Modeling—0
Metaheuristic-based Energy-aware Image Compression for Mobile App Development—0
Learning-Based Conditional Image Coder Using Color Separation—0
A Novel Stochastic Gradient Descent Algorithm for Learning Principal Subspaces—0
Image Compression With Learned Lifting-Based DWT and Learned Tree-Based Entropy ModelsCode0
A Learned Pixel-by-Pixel Lossless Image Compression Method with 59K Parameters and Parallel DecodingCode0
Device Interoperability for Learned Image Compression with Weights and Activations Quantization—0
Distributed Deep Joint Source-Channel Coding over a Multiple Access ChannelCode1
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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