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 851–875 of 1008 papers

TitleStatusHype
Preprocessing Enhanced Image Compression for Machine Vision—0
Privacy-Preserving Face Recognition Using Trainable Feature Subtraction—0
Probing Image Compression For Class-Incremental Learning—0
Processing Energy Modeling for Neural Network Based Image Compression—0
ProgDTD: Progressive Learned Image Compression with Double-Tail-Drop Training—0
Progressive Compression with Universally Quantized Diffusion Models—0
Progressive Feature Fusion Network for Enhancing Image Quality Assessment—0
Progressive Learning with Visual Prompt Tuning for Variable-Rate Image Compression—0
Progressive Neural Image Compression with Nested Quantization and Latent Ordering—0
Q-LIC: Quantizing Learned Image Compression with Channel Splitting—0
Quality and Complexity Assessment of Learning-Based Image Compression Solutions—0
Quantifying the effect of image compression on supervised learning applications in optical microscopy—0
Quantized Decoder in Learned Image Compression for Deterministic Reconstruction—0
Quantum Implicit Neural Compression—0
RAGE for the Machine: Image Compression with Low-Cost Random Access for Embedded Applications—0
Random-Access Neural Compression of Material Textures—0
Rate Distortion Characteristic Modeling for Neural Image Compression—0
Rate-Distortion-Cognition Controllable Versatile Neural Image Compression—0
Rate-Distortion Optimized Post-Training Quantization for Learned Image Compression—0
RAWtoBit: A Fully End-to-end Camera ISP Network—0
Lightweight Embedded FPGA Deployment of Learned Image Compression with Knowledge Distillation and Hybrid Quantization—0
Localization of Just Noticeable Difference for Image CompressionCode0
Five Modulus Method For Image CompressionCode0
Fine-grained subjective visual quality assessment for high-fidelity compressed imagesCode0
DSIC: Deep Stereo Image CompressionCode0
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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