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 951–975 of 1008 papers

TitleStatusHype
ComDefend: An Efficient Image Compression Model to Defend Adversarial ExamplesCode0
CocoNet: A deep neural network for mapping pixel coordinates to color valuesCode0
Neural Image Compression via Non-Local Attention Optimization and Improved Context ModelingCode0
Clinically Relevant Latent Space Embedding of Cancer Histopathology Slides through Variational Autoencoder Based Image CompressionCode0
Recovering Sign Bits of DCT Coefficients in Digital Images as an Optimization ProblemCode0
HiLLoC: Lossless Image Compression with Hierarchical Latent Variable ModelsCode0
Variable Rate Deep Image Compression with Modulated AutoencoderCode0
DeepCompress: Efficient Point Cloud Geometry CompressionCode0
Reducing Texture Bias of Deep Neural Networks via Edge Enhancing DiffusionCode0
Neural Network Assisted Lifting Steps For Improved Fully Scalable Lossy Image Compression in JPEG 2000Code0
Cattle Identification Using Muzzle Images and Deep Learning TechniquesCode0
High-throughput Onboard Hyperspectral Image Compression with Ground-based CNN ReconstructionCode0
Higher fidelity perceptual image and video compression with a latent conditioned residual denoising diffusion modelCode0
NIF: A Fast Implicit Image Compression with Bottleneck Layers and Modulated Sinusoidal ActivationsCode0
Unicorn: Unified Neural Image Compression with One Number ReconstructionCode0
Context-adaptive neural network based prediction for image compressionCode0
End-to-end optimized image compression with competition of prior distributionsCode0
CAS-CNN: A Deep Convolutional Neural Network for Image Compression Artifact SuppressionCode0
HeartSpot: Privatized and Explainable Data Compression for Cardiomegaly DetectionCode0
Region of Interest Loss for Anonymizing Learned Image CompressionCode0
OMR-NET: a two-stage octave multi-scale residual network for screen content image compressionCode0
Generative Adversarial Networks for Extreme Learned Image CompressionCode0
Generalized Octave Convolutions for Learned Multi-Frequency Image CompressionCode0
On Efficient Neural Network Architectures for Image CompressionCode0
Towards Image Understanding from Deep Compression without DecodingCode0
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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