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 751–800 of 1008 papers

TitleStatusHype
Fourth-Order Anisotropic Diffusion for Inpainting and Image Compression—0
High-Fidelity Generative Image CompressionCode1
An Unsupervised Information-Theoretic Perceptual Quality Metric—0
Neural Sparse Representation for Image RestorationCode1
Improving Inference for Neural Image CompressionCode1
Variational Quantum Singular Value DecompositionCode1
A Spatial RNN Codec for End-to-End Image Compression—0
Scale-Space Flow for End-to-End Optimized Video Compression—0
JPD-SE: High-Level Semantics for Joint Perception-Distortion Enhancement in Image CompressionCode0
Adapting JPEG XS gains and priorities to tasks and contents—0
Learning Context-Based Non-local Entropy Modeling for Image Compression—0
Lossy Compression with Distortion Constrained Optimization—0
Comparison of Image Quality Models for Optimization of Image Processing SystemsCode1
You Only Train Once: Loss-Conditional Training of Deep Networks—0
Distributed Learning and Inference with Compressed Images—0
Towards Analysis-friendly Face Representation with Scalable Feature and Texture Compression—0
3-D Context Entropy Model for Improved Practical Image Compression—0
Quantization Guided JPEG Artifact CorrectionCode0
Extending Unsupervised Neural Image Compression With Supervised Multitask Learning—0
PrivEdge: From Local to Distributed Private Training and PredictionCode0
Variable Rate Video Compression using a Hybrid Recurrent Convolutional Learning Framework—0
Exploiting context dependence for image compression with upsampling—0
Lossless Image Compression through Super-ResolutionCode2
Light Field Image Coding Using Dual Discriminator Generative Adversarial Network and VVC Temporal Scalability—0
Image compression optimized for 3D reconstruction by utilizing deep neural networks—0
Learning Better Lossless Compression Using Lossy CompressionCode1
Object-Based Image Coding: A Learning-Driven Revisit—0
Development of On Board Computer for a Nanosatellite—0
Learning to Structure an Image with Few ColorsCode1
Optimizing JPEG Quantization for Classification Networks—0
Learning for Video Compression with Hierarchical Quality and Recurrent EnhancementCode1
Asymmetric Gained Deep Image Compression With Continuous Rate AdaptationCode1
Improved Image Coding Autoencoder With Deep Learning—0
Generalized Octave Convolutions for Learned Multi-Frequency Image CompressionCode0
Binary Probability Model for Learning Based Image Compression—0
STW and SPIHT Wavelet compression using MATLAB wavelet Tool for Color Image—0
Hierarchical Quantized AutoencodersCode1
Variational Bayesian QuantizationCode1
Discernible Image Compression—0
Saliency Driven Perceptual Image Compression—0
Learning End-to-End Lossy Image Compression: A BenchmarkCode1
Ultra High Fidelity Image Compression with _-constrained Encoding and Deep Decoding—0
A Unified End-to-End Framework for Efficient Deep Image CompressionCode1
A Hybrid Quantum enabled RBM Advantage: Convolutional Autoencoders For Quantum Image Compression and Generative Learning—0
Deep Learning-based Image Compression with Trellis Coded Quantization—0
Fast, Compact and Highly Scalable Visual Place Recognition through Sequence-based Matching of Overloaded RepresentationsCode1
A GAN-based Tunable Image Compression System—0
Image Segmentation Using Deep Learning: A SurveyCode1
Deep Image Compression using Decoder Side InformationCode1
SUR-FeatNet: Predicting the Satisfied User Ratio Curvefor Image Compression with Deep Feature LearningCode0
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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