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 326–350 of 1008 papers

TitleStatusHype
Deep Stereo Image Compression via Bi-Directional Coding—0
Deep Spatial and Tonal Data Optimisation for Homogeneous Diffusion Inpainting—0
BlinQS: Blind Quality Scalable Image Compression Algorithm without using PCRD Optimization—0
DeepSIC: Deep Semantic Image Compression—0
Deep Selector-JPEG: Adaptive JPEG Image Compression for Computer Vision in Image classification with Human Vision Criteria—0
An Empirical Analysis of Recurrent Learning Algorithms In Neural Lossy Image Compression Systems—0
Adapting JPEG XS gains and priorities to tasks and contents—0
Deep Sampling Networks—0
Deep Probabilistic Video Compression—0
Bit Rate Matching Algorithm Optimization in JPEG-AI Verification Model—0
Deep Generative Video Compression—0
Deep Predictive Video Compression with Bi-directional Prediction—0
Bit Distribution Study and Implementation of Spatial Quality Map in the JPEG-AI Standardization—0
Deep Perceptual Image Quality Assessment for Compression—0
Deep Perceptual Compression—0
DeepN-JPEG: A Deep Neural Network Favorable JPEG-based Image Compression Framework—0
Deep Networks for Compressed Image Sensing—0
Binary Probability Model for Learning Based Image Compression—0
An Efficient Architecture and High-Throughput Implementation of CCSDS-123.0-B-2 Hybrid Entropy Coder Targeting Space-Grade SRAM FPGA Technology—0
Adaptation and Attention for Neural Video Coding—0
A bi-level view of inpainting - based image compression—0
Deep Lossless Image Compression via Masked Sampling and Coarse-to-Fine Auto-Regression—0
Bi-Level Spatial and Channel-aware Transformer for Learned Image Compression—0
Deep Learning-based Image Compression with Trellis Coded Quantization—0
An Efficient Adaptive Compression Method for Human Perception and Machine Vision Tasks—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