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 351–400 of 1008 papers

TitleStatusHype
Deep Image Compression Using Scene Text Quality Assessment—0
An Autoencoder-based Learned Image Compressor: Description of Challenge Proposal by NCTU—0
Batch Normalization Alleviates the Spectral Bias in Coordinate Networks—0
DeepFGS: Fine-Grained Scalable Coding for Learned Image Compression—0
Bandwidth-efficient Inference for Neural Image Compression—0
DeepFGS: Fine-Grained Scalable Coding for Learned Image Compression—0
Deep Decoding of _-coded Light Field Images—0
Deep Convolutional Neural Network for Image Deconvolution—0
Backdoor Attacks Against Deep Image Compression via Adaptive Frequency Trigger—0
Analysis of Neural Image Compression Networks for Machine-to-Machine Communication—0
A Cross Channel Context Model for Latents in Deep Image Compression—0
3-D Context Entropy Model for Improved Practical Image Compression—0
DeepAdversaries: Examining the Robustness of Deep Learning Models for Galaxy Morphology Classification—0
“Zero-Shot” Super-Resolution Using Deep Internal Learning—0
Decouple Distortion from Perception: Region Adaptive Diffusion for Extreme-low Bitrate Perception Image Compression—0
Dec-Adapter: Exploring Efficient Decoder-Side Adapter for Bridging Screen Content and Natural Image Compression—0
Automatic Text Line Segmentation Directly in JPEG Compressed Document Images—0
An Adaptive Statistical Non-uniform Quantizer for Detail Wavelet Components in Lossy JPEG2000 Image Compression—0
DCT Approximations Based on Chen's Factorization—0
Data Stealing Attack on Medical Images: Is it Safe to Export Networks from Data Lakes?—0
Autoencoders with Variable Sized Latent Vector for Image Compression—0
Data Efficient Visual Place Recognition Using Extremely JPEG-Compressed Images—0
Data-Efficient Sequence-Based Visual Place Recognition with Highly Compressed JPEG Images—0
Autoencoder based image compression: can the learning be quantization independent?—0
A Multiparametric Class of Low-complexity Transforms for Image and Video Coding—0
A Compression Objective and a Cycle Loss for Neural Image Compression—0
DANICE: Domain adaptation without forgetting in neural image compression—0
Customized OCT images compression scheme with deep neural network—0
Crowd Counting on Heavily Compressed Images with Curriculum Pre-Training—0
A Unified Image Preprocessing Framework For Image Compression—0
A Modified No Search Algorithm for Fractal Image Compression—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
A Comprehensive Survey of Transformers for Computer Vision—0
A3D: Adaptive, Accurate, and Autonomous Navigation for Edge-Assisted Drones—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
Frequency-Biased Synergistic Design for Image Compression and Compensation—0
Controllable Distortion-Perception Tradeoff Through Latent Diffusion for Neural Image Compression—0
A Training-Free Defense Framework for Robust Learned Image Compression—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