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

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Showing 251–300 of 1008 papers

TitleStatusHype
Customized OCT images compression scheme with deep neural network—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
A Modified No Search Algorithm for Fractal Image Compression—0
Crowd Counting on Heavily Compressed Images with Curriculum Pre-Training—0
A Unified Image Preprocessing Framework For Image Compression—0
A Comprehensive Survey of Transformers for Computer Vision—0
CPIPS: Learning to Preserve Perceptual Distances in End-to-End Image Compression—0
Countering Personalized Text-to-Image Generation with Influence Watermarks—0
Correcting Diffusion-Based Perceptual Image Compression with Privileged End-to-End Decoder—0
Attention-guided Image Compression by Deep Reconstruction of Compressive Sensed Saliency Skeleton—0
A Low Complexity VLSI Architecture for Multi-Focus Image Fusion in DCT Domain—0
A3D: Adaptive, Accurate, and Autonomous Navigation for Edge-Assisted Drones—0
Enhancing VVC with Deep Learning based Multi-Frame Post-Processing—0
Corner-to-Center Long-range Context Model for Efficient Learned Image Compression—0
Cool-Chic: Perceptually Tuned Low Complexity Overfitted Image Coder—0
Attention Based Image Compression Post-Processing Convolutional Neural Network—0
Convolutional variational autoencoders for secure lossy image compression in remote sensing—0
Convolutional Transformer-Based Image Compression—0
Attention-Based Generative Neural Image Compression on Solar Dynamics Observatory—0
All-in-One Transferring Image Compression from Human Perception to Multi-Machine Perception—0
ConvNeXt-ChARM: ConvNeXt-based Transform for Efficient Neural Image Compression—0
Attack and Defense Analysis of Learned Image Compression—0
Controllable Distortion-Perception Tradeoff Through Latent Diffusion for Neural Image Compression—0
A Training-Free Defense Framework for Robust Learned Image Compression—0
A Comprehensive Benchmark for Single Image Compression Artifacts Reduction—0
Continuous Patch Stitching for Block-wise Image Compression—0
A Taxonomy of Miscompressions: Preparing Image Forensics for Neural Compression—0
Contextformer: A Transformer with Spatio-Channel Attention for Context Modeling in Learned Image Compression—0
A Systematic Evaluation of Coding Strategies for Sparse Binary Images—0
Asymmetric Learned Image Compression with Multi-Scale Residual Block, Importance Map, and Post-Quantization Filtering—0
Content-oriented learned image compression—0
Content Based Image Indexing and Retrieval—0
A Lightweight Model for Perceptual Image Compression via Implicit Priors—0
A^2-UAV: Application-Aware Content and Network Optimization of Edge-Assisted UAV Systems—0
Enhancing the Rate-Distortion-Perception Flexibility of Learned Image Codecs with Conditional Diffusion Decoders—0
Enlarging Context with Low Cost: Efficient Arithmetic Coding with Trimmed Convolution—0
Content Adaptive Optimization for Neural Image Compression—0
AsymLLIC: Asymmetric Lightweight Learned Image Compression—0
Content Adaptive Latents and Decoder for Neural Image Compression—0
Constrained Convolutional Sparse Coding for Parametric Based Reconstruction of Line Drawings—0
A study on the use of perceptual hashing to detect manipulation of embedded messages in images—0
A Compact Neural Network-based Algorithm for Robust Image Watermarking—0
Consolidated Dataset and Metrics for High-Dynamic-Range Image Quality—0
A Study on the Effect of Color Spaces in Learned Image Compression—0
aiWave: Volumetric Image Compression with 3-D Trained Affine Wavelet-like Transform—0
Conditional Perceptual Quality Preserving Image Compression—0
Conditional Neural Video Coding with Spatial-Temporal Super-Resolution—0
A study for Image compression using Re-Pair algorithm—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