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
Attack and Defense Analysis of Learned Image Compression—0
Frequency Disentangled Features in Neural Image Compression—0
Frequency-Biased Synergistic Design for Image Compression and Compensation—0
Controllable Distortion-Perception Tradeoff Through Latent Diffusion for Neural Image Compression—0
A Training-Free Defense Framework for Robust Learned Image Compression—0
Fully Convolutional Network for Removing DCT Artefacts From Images—0
A Comprehensive Benchmark for Single Image Compression Artifacts Reduction—0
Frequency-Aware Re-Parameterization for Over-Fitting Based Image Compression—0
Connecting Image Inpainting with Denoising in the Homogeneous Diffusion Setting—0
Gain-MLP: Improving HDR Gain Map Encoding via a Lightweight MLP—0
GAN-based Image Compression with Improved RDO Process—0
GANCompress: GAN-Enhanced Neural Image Compression with Binary Spherical Quantization—0
GAN- vs. JPEG2000 Image Compression for Distributed Automotive Perception: Higher Peak SNR Does Not Mean Better Semantic Segmentation—0
Gated Context Model with Embedded Priors for Deep Image Compression—0
Generalized Gaussian Model for Learned Image Compression—0
Continuous Patch Stitching for Block-wise Image Compression—0
Frequency-aware Learned Image Compression for Quality Scalability—0
A Taxonomy of Miscompressions: Preparing Image Forensics for Neural Compression—0
Fractional Calculus In Image Processing: A Review—0
Generative Image Compression by Estimating Gradients of the Rate-variable Feature Distribution—0
Generative Inpainting Network Applications on Seismic Image Compression and Non-Uniform Sampling—0
Generative Latent Coding for Ultra-Low Bitrate Image Compression—0
FPGA based Parallelized Architecture of Efficient Graph based Image Segmentation Algorithm—0
GOLLIC: Learning Global Context beyond Patches for Lossless High-Resolution Image Compression—0
FPGA-based Binocular Image Feature Extraction and Matching System—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