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 376–400 of 1008 papers

TitleStatusHype
F-INR: Functional Tensor Decomposition for Implicit Neural Representations—0
FIPER: Generalizable Factorized Features for Robust Low-Level Vision Models—0
Entropy Based Cartoon Texture Separation—0
A Practical Approach for Rate-Distortion-Perception Analysis in Learned Image Compression—0
Generative Latent Coding for Ultra-Low Bitrate Image and Video Compression—0
Enlarging Context with Low Cost: Efficient Arithmetic Coding with Trimmed Convolution—0
COMPASS: High-Efficiency Deep Image Compression with Arbitrary-scale Spatial Scalability—0
Enhancing VVC with Deep Learning based Multi-Frame Post-Processing—0
Enhancing the Rate-Distortion-Perception Flexibility of Learned Image Codecs with Conditional Diffusion Decoders—0
Flow to the Mode: Mode-Seeking Diffusion Autoencoders for State-of-the-Art Image Tokenization—0
Comparison of Lossless Image Formats—0
Approximately Invertible Neural Network for Learned Image Compression—0
Fourier-Modulated Implicit Neural Representation for Multispectral Satellite Image Compression—0
GOLLIC: Learning Global Context beyond Patches for Lossless High-Resolution Image Compression—0
Fourth-Order Anisotropic Diffusion for Inpainting and Image Compression—0
Enhancing Perception Quality in Remote Sensing Image Compression via Invertible Neural Network—0
FPGA based Parallelized Architecture of Efficient Graph based Image Segmentation Algorithm—0
Compact Latent Representation for Image Compression (CLRIC)—0
Fractional Calculus In Image Processing: A Review—0
A Generative Model of Natural Texture Surrogates—0
Enhancing Adversarial Training with Prior Knowledge Distillation for Robust Image Compression—0
Frequency-Aware Re-Parameterization for Over-Fitting Based Image Compression—0
Enhancement of theColor Image Compression Using a New Algorithm based on Discrete Hermite Wavelet Transform—0
An Unsupervised Information-Theoretic Perceptual Quality Metric—0
Human Synthesis and Scene Compositing—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