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 301–350 of 1008 papers

TitleStatusHype
Idempotence and Perceptual Image CompressionCode1
TLIC: Learned Image Compression with ROI-Weighted Distortion and Bit Allocation—0
End-to-End Optimized Image Compression with the Frequency-Oriented Transform—0
Exploring Compressed Image Representation as a Perceptual Proxy: A StudyCode7
Progressive Feature Fusion Network for Enhancing Image Quality Assessment—0
Efficient Parallel Data Optimization for Homogeneous Diffusion Inpainting of 4K Images—0
LiDAR Depth Map Guided Image Compression Model—0
Transferable Learned Image Compression-Resistant Adversarial Perturbations—0
Cool-Chic: Perceptually Tuned Low Complexity Overfitted Image CoderCode0
ED: Perceptually tuned Enhanced Compression Model—0
Learned Lossless Image Compression based on Bit Plane SlicingCode1
Towards High-fidelity Artistic Image Vectorization via Texture-Encapsulated Shape Parameterization—0
Batch Normalization Alleviates the Spectral Bias in Coordinate Networks—0
Countering Personalized Text-to-Image Generation with Influence Watermarks—0
Generative Latent Coding for Ultra-Low Bitrate Image Compression—0
FFCA-Net: Stereo Image Compression via Fast Cascade Alignment of Side Information—0
Scalable Face Image Coding via StyleGAN Prior: Towards Compression for Human-Machine Collaborative Vision—0
The Rate-Distortion-Perception-Classification Tradeoff: Joint Source Coding and Modulation via Inverse-Domain GANs—0
Compact 3D Scene Representation via Self-Organizing Gaussian GridsCode3
Quantized Decoder in Learned Image Compression for Deterministic Reconstruction—0
Unified learning-based lossy and lossless JPEG recompression—0
Hyperspectral Image Compression Using Sampling and Implicit Neural Representations—0
Technical description of the EPFL submission to the JPEG DNA CfP—0
Corner-to-Center Long-range Context Model for Efficient Learned Image Compression—0
Perceptual Image Compression with Cooperative Cross-Modal Side Information—0
Understanding the Vulnerability of CLIP to Image CompressionCode0
Progressive Learning with Visual Prompt Tuning for Variable-Rate Image Compression—0
Cattle Identification Using Muzzle Images and Deep Learning TechniquesCode0
Neural-based Compression Scheme for Solar Image Data—0
Deep Image Semantic Communication Model for Artificial Intelligent Internet of ThingsCode1
Deep learning based Image Compression for Microscopy Images: An Empirical StudyCode0
VCISR: Blind Single Image Super-Resolution with Video Compression Synthetic DataCode1
A Principled Hierarchical Deep Learning Approach to Joint Image Compression and Classification—0
NIF: A Fast Implicit Image Compression with Bottleneck Layers and Modulated Sinusoidal ActivationsCode0
Frequency-Aware Transformer for Learned Image CompressionCode1
Diagnosis-oriented Medical Image Compression with Efficient Transfer Learning—0
Towards Exploring Fairness in Visual Transformer based Natural and GAN Image Detection SystemsCode0
Matrix Compression via Randomized Low Rank and Low Precision FactorizationCode1
Image Compression using only Attention based Neural Networks—0
Towards image compression with perfect realism at ultra-low bitratesCode1
Distribution prediction for image compression: An experimental re-compressor for JPEG images—0
Frequency-Aware Re-Parameterization for Over-Fitting Based Image Compression—0
Intelligent DRL-Based Adaptive Region of Interest for Delay-sensitive Telemedicine Applications—0
Image Compression and Decompression Framework Based on Latent Diffusion Model for Breast MammographyCode0
CPIPS: Learning to Preserve Perceptual Distances in End-to-End Image Compression—0
On Uniform Scalar Quantization for Learned Image Compression—0
Maximal Volume Matrix Cross Approximation for Image Compression and Least Squares Solution—0
Linear Progressive Coding for Semantic Communication using Deep Neural Networks—0
Advancing The Rate-Distortion-Computation Frontier For Neural Image Compression—0
Connecting Image Inpainting with Denoising in the Homogeneous Diffusion Setting—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