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 451–500 of 1008 papers

TitleStatusHype
Deep Decoding of _-coded Light Field Images—0
Analysis of Neural Image Compression Networks for Machine-to-Machine Communication—0
HLIC: Harmonizing Optimization Metrics in Learned Image Compression by Reinforcement Learning—0
How to Exploit the Transferability of Learned Image Compression to Conventional Codecs—0
Human Perceptual Evaluations for Image Compression—0
Towards improved lossy image compression: Human image reconstruction with public-domain images—0
HybridFlow: Infusing Continuity into Masked Codebook for Extreme Low-Bitrate Image Compression—0
Hybrid Model-based / Data-driven Graph Transform for Image Coding—0
Enhanced Diagnostic Fidelity in Pathology Whole Slide Image Compression via Deep Learning—0
Bridging Compressed Image Latents and Multimodal Large Language Models—0
JND-Based Perceptual Optimization For Learned Image Compression—0
Hyperspectral Image Compression Using Implicit Neural Representation—0
JPEG XT Image Compression with Hue Compensation for Two-Layer HDR Coding—0
HySpecNet-11k: A Large-Scale Hyperspectral Dataset for Benchmarking Learning-Based Hyperspectral Image Compression Methods—0
A GAN-based Tunable Image Compression System—0
Identity Preserving Loss for Learned Image Compression—0
End-to-End Optimized Image Compression with the Frequency-Oriented Transform—0
Image and Video Compression using Generative Sparse Representation with Fidelity Controls—0
Interleaved Block-based Learned Image Compression with Feature Enhancement and Quantization Error Compensation—0
Combining Progressive Image Compression and Random Access in DNA Data Storage—0
End-to-end optimized image compression for multiple machine tasks—0
Image Compression and Classification Using Qubits and Quantum Deep Learning—0
Image Compression Based on Compressive Sensing: End-to-End Comparison with JPEG—0
Image Compression By Embedding Five Modulus Method Into JPEG—0
Accelerating block-level rate control for learned image compression—0
Image compression optimized for 3D reconstruction by utilizing deep neural networks—0
End-to-end optimized image compression for machines, a study—0
Image Compression: Sparse Coding vs. Bottleneck Autoencoders—0
Combined Approach for Image Segmentation—0
Image Compression using only Attention based Neural Networks—0
DeepN-JPEG: A Deep Neural Network Favorable JPEG-based Image Compression Framework—0
Image Compression with Isotropic and Anisotropic Shepard Inpainting—0
Deep Perceptual Compression—0
Image Compression with Product Quantized Masked Image Modeling—0
End-to-End Optimization of JPEG-Based Deep Learning Process for Image Classification—0
Image Compression with SVD : A New Quality Metric Based On Energy Ratio—0
Image-Dependent Local Entropy Models for Learned Image Compression—0
Image Distortion Detection using Convolutional Neural Network—0
Image Generative Semantic Communication with Multi-Modal Similarity Estimation for Resource-Limited Networks—0
Image-GS: Content-Adaptive Image Representation via 2D Gaussians—0
Image Restoration by Estimating Frequency Distribution of Local Patches—0
End-to-End Learning of Video Compression Using Spatio-Temporal Autoencoders—0
Image Storage on Synthetic DNA Using Autoencoders—0
Image storage on synthetic DNA using compressive autoencoders and DNA-adapted entropy coders—0
Impact of Image Compression on In Vitro Cell Migration Analysis—0
Implicit Dual-domain Convolutional Network for Robust Color Image Compression Artifact Reduction—0
Color Learning for Image Compression—0
Implicit Neural Multiple Description for DNA-based data storage—0
Implicit Neural Representations for Image Compression—0
A Novel Stochastic Gradient Descent Algorithm for Learning Principal Subspaces—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