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 601–650 of 1008 papers

TitleStatusHype
Towards End-to-End Image Compression and Analysis with TransformersCode1
Adaptation and Attention for Neural Video Coding—0
Towards Robust Neural Image Compression: Adversarial Attack and Model Finetuning—0
Boosting Neural Image Compression for Machines Using Latent Space MaskingCode1
LC-FDNet: Learned Lossless Image Compression with Frequency Decomposition NetworkCode1
DPICT: Deep Progressive Image Compression Using Trit-PlanesCode1
A New Approach to Image Compression in Industrial Internet of Things—0
Joint Global and Local Hierarchical Priors for Learned Image CompressionCode1
Implicit Neural Representations for Image Compression—0
Strategies in JPEG compression using Convolutional Neural Network (CNN)—0
Using Image Transformations to Learn Network Structure—0
Low-complexity Rounded KLT Approximation for Image Compression—0
A Novel Framework for Image-to-image Translation and Image Compression—0
Towards Empirical Sandwich Bounds on the Rate-Distortion FunctionCode1
Universal Efficient Variable-rate Neural Image Compression—0
End-to-End Learned Image Compression with Quantized Weights and Activations—0
End-to-end optimized image compression with competition of prior distributionsCode0
Online Meta Adaptation for Variable-Rate Learned Image Compression—0
Transformer-based Image Compression—0
Learned Image Compression for Machine Perception—0
iFlow: Numerically Invertible Flows for Efficient Lossless Compression via a Uniform Coder—0
Learned Image Compression with Separate Hyperprior Decoders—0
Video Coding for Machine: Compact Visual Representation Compression for Intelligent Collaborative Analytics—0
KDSalBox: A toolbox of efficient knowledge-distilled saliency models—0
Operationalizing Convolutional Neural Network Architectures for Prohibited Object Detection in X-Ray Imagery—0
Image Compression and Classification Using Qubits and Quantum Deep Learning—0
Quantum pixel representations and compression for N-dimensional imagesCode1
Learning Sparse Masks for Diffusion-based Image Inpainting—0
End-to-End Image Compression with Probabilistic Decoding—0
HLIC: Harmonizing Optimization Metrics in Learned Image Compression by Reinforcement Learning—0
Post-Training Quantization Is All You Need to Perform Cross-Platform Learned Image Compression—0
Wavelet Feature Maps Compression for Low Bandwidth Convolutional Neural Networks—0
Transformer-based Transform CodingCode1
Lidar Range Image Compression with Deep Delta Encoding—0
Towards Flexible Blind JPEG Artifacts RemovalCode1
Unified Signal Compression Using a GAN with Iterative Latent Representation OptimizationCode1
Interpolation variable rate image compressionCode1
iWave3D: End-to-end Brain Image Compression with Trainable 3-D Wavelet Transform—0
Image Compression with Recurrent Neural Network and Generalized Divisive NormalizationCode1
Image Processing via Multilayer Graph Spectra—0
Lossless Image Compression Using a Multi-Scale Progressive Statistical Model—0
Lossy Medical Image Compression using Residual Learning-based Dual Autoencoder Model—0
Learned Image Coding for Machines: A Content-Adaptive Approach—0
Supervised Compression for Resource-Constrained Edge Computing SystemsCode1
Variable-Rate Deep Image Compression through Spatially-Adaptive Feature TransformCode1
4-D Epanechnikov Mixture Regression in Light Field Image Compression—0
Towards Top-Down Just Noticeable Difference Estimation of Natural ImagesCode1
Enhanced Invertible Encoding for Learned Image CompressionCode1
OSLO: On-the-Sphere Learning for Omnidirectional images and its application to 360-degree image compression—0
Quality and Complexity Assessment of Learning-Based Image Compression Solutions—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