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 901–925 of 1008 papers

TitleStatusHype
Virtual Codec Supervised Re-Sampling Network for Image Compression—0
Design an Advance computer-aided tool for Image Authentication and Classification—0
DSSLIC: Deep Semantic Segmentation-based Layered Image CompressionCode0
DMCNN: Dual-Domain Multi-Scale Convolutional Neural Network for Compression Artifacts Removal—0
Deep Image Compression via End-to-End LearningCode0
“Zero-Shot” Super-Resolution Using Deep Internal Learning—0
Autoencoders with Variable Sized Latent Vector for Image Compression—0
Image-Dependent Local Entropy Models for Learned Image Compression—0
CocoNet: A deep neural network for mapping pixel coordinates to color valuesCode0
Image Distortion Detection using Convolutional Neural Network—0
Block-optimized Variable Bit Rate Neural Image Compression—0
BlockCNN: A Deep Network for Artifact Removal and Image CompressionCode0
Deep Generative Models for Distribution-Preserving Lossy CompressionCode0
Image Restoration by Estimating Frequency Distribution of Local Patches—0
Fully Convolutional Model for Variable Bit Length and Lossy High Density Compression of Mammograms—0
Neural Multi-scale Image Compression—0
A Canonical Image Set for Examining and Comparing Image Processing Algorithms—0
Deep Convolutional AutoEncoder-based Lossy Image CompressionCode0
An efficient deep convolutional laplacian pyramid architecture for CS reconstruction at low sampling ratiosCode0
Deformation Aware Image Compression—0
Generative Adversarial Networks for Extreme Learned Image CompressionCode0
One-Two-One Networks for Compression Artifacts Reduction in Remote Sensing—0
The Effects of JPEG and JPEG2000 Compression on Attacks using Adversarial Examples—0
Incremental Color Quantization for Color-Vision-Deficient Observers Using Mobile Gaming Data—0
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