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 301–325 of 1008 papers

TitleStatusHype
Extreme compression of grayscale images—0
Conditional Hallucinations for Image Compression—0
Conditional Coding for Flexible Learned Video Compression—0
A Specific Task-oriented Semantic Image Communication System for substation patrol inspection—0
Concatenated Attention Neural Network for Image Restoration—0
Computationally Efficient Neural Image Compression—0
A Spatial RNN Codec for End-to-End Image Compression—0
Computational ghost imaging with hybrid transforms by integrating Hadamard, discrete cosine, and Haar matrices—0
Compression without Quantization—0
A Secure and Efficient Multi-Object Grasping Detection Approach for Robotic Arms—0
Compression, Restoration, Re-sampling, Compressive Sensing: Fast Transforms in Digital Imaging—0
Compression-Resistant Backdoor Attack against Deep Neural Networks—0
Are Visual Recognition Models Robust to Image Compression?—0
AICT: An Adaptive Image Compression Transformer—0
A Class of DCT Approximations Based on the Feig-Winograd Algorithm—0
Extreme Generative Image Compression by Learning Text Embedding from Diffusion Models—0
Compressing Weight-updates for Image Artifacts Removal Neural Networks—0
A Review of Pulse-Coupled Neural Network Applications in Computer Vision and Image Processing—0
Compressing high-resolution data through latent representation encoding for downscaling large-scale AI weather forecast model—0
Compressible and Searchable: AI-native Multi-Modal Retrieval System with Learned Image Compression—0
A Recent Survey on the Applications of Genetic Programming in Image Processing—0
A Hybrid Quantum enabled RBM Advantage: Convolutional Autoencoders For Quantum Image Compression and Generative Learning—0
Compressed sensing of astronomical images:orthogonal wavelets domains—0
A Rate-Distortion-Classification Approach for Lossy Image Compression—0
AccelIR: Task-Aware Image Compression for Accelerating Neural Restoration—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