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 726–750 of 1008 papers

TitleStatusHype
Deep learning-based Edge-aware pre and post-processing methods for JPEG compressed images—0
Image Segmentation, Compression and Reconstruction from Edge Distribution Estimation with Random Field and Random Cluster Theories—0
A Decade of Research for Image Compression In Multimedia Laboratory—0
BlinQS: Blind Quality Scalable Image Compression Algorithm without using PCRD Optimization—0
Learning Scalable _-constrained Near-lossless Image Compression via Joint Lossy Image and Residual Compression—0
Attention-guided Image Compression by Deep Reconstruction of Compressive Sensed Saliency Skeleton—0
Improved Autoregressive Modeling with Distribution Smoothing—0
Thousand to One: Semantic Prior Modeling for Conceptual Coding—0
End-to-end optimized image compression for multiple machine tasks—0
Effects of Image Compression on Face Image Manipulation Detection: A Case Study on Facial Retouching—0
Hierarchical Image Compression Framework—0
On reducing the correlation of bottleneck representations in Autoencoders—0
A Cross Channel Context Model for Latents in Deep Image Compression—0
Deep Perceptual Image Quality Assessment for Compression—0
An Implementation of Vector Quantization using the Genetic Algorithm Approach—0
Pre-demosaic Graph-based Light Field Image Compression—0
Discrete Cosine Transform in JPEG Compression—0
Progressive Neural Image Compression with Nested Quantization and Latent Ordering—0
JPEG Meets PDE-based Image Compression—0
Image Compression with Encoder-Decoder Matched Semantic SegmentationCode0
Overfitting for Fun and Profit: Instance-Adaptive Data Compression—0
Neural Image Compression via Attentional Multi-Scale Back Projection and Frequency Decomposition—0
Learned Multi-Resolution Variable-Rate Image Compression with Octave-based Residual Blocks—0
Consolidated Dataset and Metrics for High-Dynamic-Range Image Quality—0
Learned Block-based Hybrid 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