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 401–425 of 1008 papers

TitleStatusHype
Random-Access Neural Compression of Material Textures—0
NVTC: Nonlinear Vector Transform CodingCode1
Make Lossy Compression Meaningful for Low-Light ImagesCode0
Deep Image Compression Using Scene Text Quality Assessment—0
Transformer-based Variable-rate Image Compression with Region-of-interest ControlCode1
VVC+M: Plug and Play Scalable Image Coding for Humans and Machines—0
Generative Adversarial Networks for Spatio-Spectral Compression of Hyperspectral Images—0
DNN-Compressed Domain Visual Recognition with Feature Adaptation—0
Exploring the Rate-Distortion-Complexity Optimization in Neural Image Compression—0
ROI-based Deep Image Compression with Swin Transformers—0
HFLIC: Human Friendly Perceptual Learned Image Compression with Reinforced TransformCode1
Multiscale Augmented Normalizing Flows for Image Compression—0
Impact of Image Compression on In Vitro Cell Migration Analysis—0
Semantically Structured Image Compression via Irregular Group-Based Decoupling—0
Multi-Modality Deep Network for JPEG Artifacts Reduction—0
ProgDTD: Progressive Learned Image Compression with Double-Tail-Drop Training—0
Learned Focused Plenoptic Image Compression with Microimage Preprocessing and Global AttentionCode0
Multi-Modality Deep Network for Extreme Learned Image Compression—0
LLIC: Large Receptive Field Transform Coding with Adaptive Weights for Learned Image Compression—0
M2T: Masking Transformers Twice for Faster Decoding—0
Machine Perception-Driven Image Compression: A Layered Generative Approach—0
Computationally-Efficient Neural Image Compression with Shallow DecodersCode1
Are Visual Recognition Models Robust to Image Compression?—0
Learned Image Compression with Mixed Transformer-CNN ArchitecturesCode2
LVQAC: Lattice Vector Quantization Coupled with Spatially Adaptive Companding for Efficient 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