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
Enhancing Perception Quality in Remote Sensing Image Compression via Invertible Neural Network—0
Compact Latent Representation for Image Compression (CLRIC)—0
Full Quaternion Representation of Color images: A Case Study on QSVD-based Color Image Compression—0
A Generative Model of Natural Texture Surrogates—0
Enhancing Adversarial Training with Prior Knowledge Distillation for Robust Image Compression—0
Fully Convolutional Network for Removing DCT Artefacts From Images—0
Enhancement of theColor Image Compression Using a New Algorithm based on Discrete Hermite Wavelet Transform—0
Convolutional Transformer-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
Correcting Diffusion-Based Perceptual Image Compression with Privileged End-to-End Decoder—0
An Unsupervised Information-Theoretic Perceptual Quality Metric—0
Human Synthesis and Scene Compositing—0
Enhanced Standard Compatible Image Compression Framework based on Auxiliary Codec Networks—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
Enhanced Residual SwinV2 Transformer for Learned Image Compression—0
GOLLIC: Learning Global Context beyond Patches for Lossless High-Resolution Image Compression—0
Enhanced Diagnostic Fidelity in Pathology Whole Slide Image Compression via Deep Learning—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