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 851–900 of 1008 papers

TitleStatusHype
A Hybrid Approach Between Adversarial Generative Networks and Actor-Critic Policy Gradient for Low Rate High-Resolution Image Compression—0
Towards Lossless Encoding of SentencesCode0
Content Adaptive Optimization for Neural Image Compression—0
Attention Based Image Compression Post-Processing Convolutional Neural Network—0
A Compression Objective and a Cycle Loss for Neural Image Compression—0
Generative Imaging and Image Processing via Generative Encoder—0
FPGA-based Binocular Image Feature Extraction and Matching System—0
Compressing Weight-updates for Image Artifacts Removal Neural Networks—0
Two-layer Near-lossless HDR Coding with Backward Compatibility to JPEG—0
X-Ray Image Compression Using Convolutional Recurrent Neural Networks—0
JPEG XT Image Compression with Hue Compensation for Two-Layer HDR Coding—0
Non-local Attention Optimized Deep Image Compression—0
Deep AutoEncoder-based Lossy Geometry Compression for Point Clouds—0
Machine Vision Guided 3D Medical Image Compression for Efficient Transmission and Accurate Segmentation in the Clouds—0
Extreme Image Coding via Multiscale Autoencoders With Generative Adversarial Optimization—0
Place-specific Background Modeling Using Recursive Autoencoders—0
Deep Predictive Video Compression with Bi-directional Prediction—0
Learning Content-Weighted Deep Image CompressionCode0
DRASIC: Distributed Recurrent Autoencoder for Scalable Image CompressionCode0
Scalable Facial Image Compression with Deep Feature Reconstruction—0
Gated Context Model with Embedded Priors for Deep Image Compression—0
An Autoencoder-based Learned Image Compressor: Description of Challenge Proposal by NCTU—0
GAN- vs. JPEG2000 Image Compression for Distributed Automotive Perception: Higher Peak SNR Does Not Mean Better Semantic Segmentation—0
A study for Image compression using Re-Pair algorithm—0
Fast and Efficient Lenslet Image Compression—0
Learning to compress and search visual data in large-scale systemsCode0
Toward Joint Image Generation and Compression using Generative Adversarial Networks—0
CAE-ADMM: Implicit Bitrate Optimization via ADMM-based Pruning in Compressive AutoencodersCode0
A Recent Survey on the Applications of Genetic Programming in Image Processing—0
UltraCompression: Framework for High Density Compression of Ultrasound Volumes using Physics Modeling Deep Neural Networks—0
Practical Lossless Compression with Latent Variables using Bits Back CodingCode0
Learning based Facial Image Compression with Semantic Fidelity Metric—0
Residual Dense Network for Image RestorationCode0
Practical Full Resolution Learned Lossless Image CompressionCode0
ComDefend: An Efficient Image Compression Model to Defend Adversarial ExamplesCode0
Neural Image Compression for Gigapixel Histopathology Image AnalysisCode0
Towards improved lossy image compression: Human image reconstruction with public-domain images—0
Implicit Dual-domain Convolutional Network for Robust Color Image Compression Artifact Reduction—0
Deep Generative Video Compression—0
End-to-End Learning of Video Compression Using Spatio-Temporal Autoencoders—0
Deep Probabilistic Video Compression—0
Study and Observation of the Variations of Accuracies for Handwritten Digits Recognition with Various Hidden Layers and Epochs using Neural Network Algorithm—0
Representing Images in 200 Bytes: Compression via Triangulation—0
Measuring Human Assessed Complexity in Synthetic Aperture Sonar Imagery Using the Elo Rating System—0
Semblance: A Rank-Based Kernel on Probability Spaces for Niche Detection—0
X-GANs: Image Reconstruction Made Easy for Extreme Cases—0
Two-Layer Lossless HDR Coding using Histogram Packing Technique with Backward Compatibility to JPEG—0
Context-adaptive neural network based prediction for image compressionCode0
Learning a Single Tucker Decomposition Network for Lossy Image Compression with Multiple Bits-Per-Pixel Rates—0
Performance Comparison of Convolutional AutoEncoders, Generative Adversarial Networks and Super-Resolution for Image Compression—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