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

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Showing 351–400 of 1008 papers

TitleStatusHype
Exploring the Rate-Distortion-Complexity Optimization in Neural Image Compression—0
Extending Unsupervised Neural Image Compression With Supervised Multitask Learning—0
Extreme compression of grayscale images—0
Extreme Generative Image Compression by Learning Text Embedding from Diffusion Models—0
Extreme Image Compression using Fine-tuned VQGANs—0
Extreme Image Coding via Multiscale Autoencoders With Generative Adversarial Optimization—0
GPU Accelerated Fractal Image Compression for Medical Imaging in Parallel Computing Platform—0
Graph Spectral Image Processing—0
Evaluating the Practicality of Learned Image Compression—0
Fast and High-Performance Learned Image Compression With Improved Checkerboard Context Model, Deformable Residual Module, and Knowledge Distillation—0
A Hybrid Approach Between Adversarial Generative Networks and Actor-Critic Policy Gradient for Low Rate High-Resolution Image Compression—0
Fast Cosine Transform to increase speed-up and efficiency of Karhunen-Loeve Transform for lossy image compression—0
Fast Data-independent KLT Approximations Based on Integer Functions—0
An Efficient Implicit Neural Representation Image Codec Based on Mixed Autoregressive Model for Low-Complexity Decoding—0
Fast Training-free Perceptual Image Compression—0
Conditional Hallucinations for Image Compression—0
FD-LSCIC: Frequency Decomposition-based Learned Screen Content Image Compression—0
Feature Compression for Rate Constrained Object Detection on the Edge—0
Conditional Perceptual Quality Preserving Image Compression—0
FEDS: Feature and Entropy-Based Distillation Strategy for Efficient Learned Image Compression—0
Few-Shot Domain Adaptation for Learned Image Compression—0
FFCA-Net: Stereo Image Compression via Fast Cascade Alignment of Side Information—0
Entropy-based Guidance of Deep Neural Networks for Accelerated Convergence and Improved Performance—0
Fine color guidance in diffusion models and its application to image compression at extremely low bitrates—0
Constrained Convolutional Sparse Coding for Parametric Based Reconstruction of Line Drawings—0
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