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 601–625 of 1008 papers

TitleStatusHype
Deep Sampling Networks—0
Deep Selector-JPEG: Adaptive JPEG Image Compression for Computer Vision in Image classification with Human Vision Criteria—0
DeepSIC: Deep Semantic Image Compression—0
Deep Spatial and Tonal Data Optimisation for Homogeneous Diffusion Inpainting—0
Deep Stereo Image Compression via Bi-Directional Coding—0
Deformation Aware Image Compression—0
Delta-ICM: Entropy Modeling with Delta Function for Learned Image Compression—0
MALICE: Manipulation Attacks on Learned Image ComprEssion—0
Dense residual Transformer for image denoising—0
Descriptive analysis of computational methods for automating mammograms with practical applications—0
Real-Time Adaptive Image Compression—0
Recoding Color Transfer as a Color Homography—0
Recognition-Aware Learned Image Compression—0
Reconstruction Distortion of Learned Image Compression with Imperceptible Perturbations—0
Reduced bit median quantization: A middle process for Efficient Image Compression—0
Reducing Redundancy in the Bottleneck Representation of the Autoencoders—0
Reducing The Amortization Gap of Entropy Bottleneck In End-to-End Image Compression—0
Reducing The Mismatch Between Marginal and Learned Distributions in Neural Video Compression—0
Refining Coded Image in Human Vision Layer Using CNN-Based Post-Processing—0
Region of Interest based Medical Image Compression—0
Regularized Compression of MRI Data: Modular Optimization of Joint Reconstruction and Coding—0
Regularized Flexible Activation Function Combinations for Deep Neural Networks—0
Relative Pixel Prediction For Autoregressive Image Generation—0
Representing Images in 200 Bytes: Compression via Triangulation—0
ResiComp: Loss-Resilient Image Compression via Dual-Functional Masked Visual Token Modeling—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