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 801–850 of 1008 papers

TitleStatusHype
Combining Progressive Image Compression and Random Access in DNA Data Storage—0
Bridging Compressed Image Latents and Multimodal Large Language Models—0
Compact Latent Representation for Image Compression (CLRIC)—0
Comparison of Lossless Image Formats—0
COMPASS: High-Efficiency Deep Image Compression with Arbitrary-scale Spatial Scalability—0
Compressed image quality assessment using stacking—0
Compressed sensing of astronomical images:orthogonal wavelets domains—0
Compressible and Searchable: AI-native Multi-Modal Retrieval System with Learned Image Compression—0
Compressing high-resolution data through latent representation encoding for downscaling large-scale AI weather forecast model—0
Compressing Weight-updates for Image Artifacts Removal Neural Networks—0
Compression-Resistant Backdoor Attack against Deep Neural Networks—0
Compression, Restoration, Re-sampling, Compressive Sensing: Fast Transforms in Digital Imaging—0
Compression without Quantization—0
Computational ghost imaging with hybrid transforms by integrating Hadamard, discrete cosine, and Haar matrices—0
Computationally Efficient Neural Image Compression—0
Concatenated Attention Neural Network for Image Restoration—0
Conditional Coding for Flexible Learned Video Compression—0
Conditional Hallucinations for Image Compression—0
Conditional Neural Video Coding with Spatial-Temporal Super-Resolution—0
Conditional Perceptual Quality Preserving Image Compression—0
Consolidated Dataset and Metrics for High-Dynamic-Range Image Quality—0
Constrained Convolutional Sparse Coding for Parametric Based Reconstruction of Line Drawings—0
Content Adaptive Latents and Decoder for Neural Image Compression—0
Content Adaptive Optimization for Neural Image Compression—0
Content Based Image Indexing and Retrieval—0
Content-oriented learned image compression—0
Contextformer: A Transformer with Spatio-Channel Attention for Context Modeling in Learned Image Compression—0
Continuous Patch Stitching for Block-wise Image Compression—0
Controllable Distortion-Perception Tradeoff Through Latent Diffusion for Neural Image Compression—0
ConvNeXt-ChARM: ConvNeXt-based Transform for Efficient Neural Image Compression—0
Convolutional Transformer-Based Image Compression—0
Convolutional variational autoencoders for secure lossy image compression in remote sensing—0
Cool-Chic: Perceptually Tuned Low Complexity Overfitted Image Coder—0
Corner-to-Center Long-range Context Model for Efficient Learned Image Compression—0
Correcting Diffusion-Based Perceptual Image Compression with Privileged End-to-End Decoder—0
Countering Personalized Text-to-Image Generation with Influence Watermarks—0
CPIPS: Learning to Preserve Perceptual Distances in End-to-End Image Compression—0
Crowd Counting on Heavily Compressed Images with Curriculum Pre-Training—0
Customized OCT images compression scheme with deep neural network—0
DANICE: Domain adaptation without forgetting in neural image compression—0
Data-Efficient Sequence-Based Visual Place Recognition with Highly Compressed JPEG Images—0
Data Efficient Visual Place Recognition Using Extremely JPEG-Compressed Images—0
Data Stealing Attack on Medical Images: Is it Safe to Export Networks from Data Lakes?—0
DCT Approximations Based on Chen's Factorization—0
Dec-Adapter: Exploring Efficient Decoder-Side Adapter for Bridging Screen Content and Natural Image Compression—0
Decouple Distortion from Perception: Region Adaptive Diffusion for Extreme-low Bitrate Perception Image Compression—0
DeepAdversaries: Examining the Robustness of Deep Learning Models for Galaxy Morphology Classification—0
Deep Convolutional Neural Network for Image Deconvolution—0
Deep Decoding of _-coded Light Field Images—0
DeepFGS: Fine-Grained Scalable Coding for 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