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 701–725 of 1008 papers

TitleStatusHype
Accelerating block-level rate control for learned image compression—0
Accelerating Deep Learning Applications in Space—0
Accelerating Learned Image Compression Through Modeling Neural Training Dynamics—0
AccelIR: Task-Aware Image Compression for Accelerating Neural Restoration—0
A Class of DCT Approximations Based on the Feig-Winograd Algorithm—0
A Compact Neural Network-based Algorithm for Robust Image Watermarking—0
A Comprehensive Benchmark for Single Image Compression Artifacts Reduction—0
A Comprehensive Survey of Transformers for Computer Vision—0
A Compression Objective and a Cycle Loss for Neural Image Compression—0
A Cross Channel Context Model for Latents in Deep Image Compression—0
Adaptation and Attention for Neural Video Coding—0
Adapting JPEG XS gains and priorities to tasks and contents—0
A DCT Approximation for Image Compression—0
A Decade of Research for Image Compression In Multimedia Laboratory—0
A Deep Image Compression Framework for Face Recognition—0
Advancing The Rate-Distortion-Computation Frontier For Neural Image Compression—0
A Fast Fractal Image Compression Algorithm Using Predefined Values for Contrast Scaling—0
A GAN-based Tunable Image Compression System—0
A Generative Model of Natural Texture Surrogates—0
A Hybrid Approach Between Adversarial Generative Networks and Actor-Critic Policy Gradient for Low Rate High-Resolution Image Compression—0
A Hybrid Quantum enabled RBM Advantage: Convolutional Autoencoders For Quantum Image Compression and Generative Learning—0
AICT: An Adaptive Image Compression Transformer—0
aiWave: Volumetric Image Compression with 3-D Trained Affine Wavelet-like Transform—0
A Lightweight Model for Perceptual Image Compression via Implicit Priors—0
All-in-One Transferring Image Compression from Human Perception to Multi-Machine Perception—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