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 401–450 of 1008 papers

TitleStatusHype
Enhancing the Rate-Distortion-Perception Flexibility of Learned Image Codecs with Conditional Diffusion Decoders—0
Neural Network Assisted Lifting Steps For Improved Fully Scalable Lossy Image Compression in JPEG 2000Code0
Exploration of Learned Lifting-Based Transform Structures for Fully Scalable and Accessible Wavelet-Like Image Compression—0
Variable-Rate Learned Image Compression with Multi-Objective Optimization and Quantization-Reconstruction Offsets—0
Towards Backward-Compatible Continual Learning of Image CompressionCode0
Bit Rate Matching Algorithm Optimization in JPEG-AI Verification Model—0
Bit Distribution Study and Implementation of Spatial Quality Map in the JPEG-AI Standardization—0
SPC-NeRF: Spatial Predictive Compression for Voxel Based Radiance Field—0
Distortion-Controlled Dithering with Reduced Recompression Rate—0
Traditional Transformation Theory Guided Model for Learned Image Compression—0
Exploring the Limits of Semantic Image Compression at Micro-bits per Pixel—0
Transformer-based Learned Image Compression for Joint Decoding and Denoising—0
TinyLIC-High efficiency lossy image compression method—0
Reducing Texture Bias of Deep Neural Networks via Edge Enhancing DiffusionCode0
Saliency-aware End-to-end Learned Variable-Bitrate 360-degree Image Compression—0
Learned Image Compression with Text Quality Enhancement—0
Joint End-to-End Image Compression and Denoising: Leveraging Contrastive Learning and Multi-Scale Self-ONNs—0
RAGE for the Machine: Image Compression with Low-Cost Random Access for Embedded Applications—0
Perceptual Learned Image Compression via End-to-End JND-Based Optimization—0
tnGPS: Discovering Unknown Tensor Network Structure Search Algorithms via Large Language Models (LLMs)Code0
UCVC: A Unified Contextual Video Compression Framework with Joint P-frame and B-frame Coding—0
Compressed image quality assessment using stacking—0
Robustly overfitting latents for flexible neural image compression—0
Semantic Ensemble Loss and Latent Refinement for High-Fidelity Neural Image Compression—0
Conditional Neural Video Coding with Spatial-Temporal Super-Resolution—0
FLLIC: Functionally Lossless Image Compression—0
An Efficient Implicit Neural Representation Image Codec Based on Mixed Autoregressive Model for Low-Complexity Decoding—0
A Training-Free Defense Framework for Robust Learned Image Compression—0
Another Way to the Top: Exploit Contextual Clustering in Learned Image Coding—0
Attack and Defense Analysis of Learned Image Compression—0
TLIC: Learned Image Compression with ROI-Weighted Distortion and Bit Allocation—0
End-to-End Optimized Image Compression with the Frequency-Oriented Transform—0
Progressive Feature Fusion Network for Enhancing Image Quality Assessment—0
Efficient Parallel Data Optimization for Homogeneous Diffusion Inpainting of 4K Images—0
LiDAR Depth Map Guided Image Compression Model—0
Transferable Learned Image Compression-Resistant Adversarial Perturbations—0
Cool-Chic: Perceptually Tuned Low Complexity Overfitted Image Coder—0
ED: Perceptually tuned Enhanced Compression Model—0
Batch Normalization Alleviates the Spectral Bias in Coordinate Networks—0
Generative Latent Coding for Ultra-Low Bitrate Image Compression—0
Countering Personalized Text-to-Image Generation with Influence Watermarks—0
Towards High-fidelity Artistic Image Vectorization via Texture-Encapsulated Shape Parameterization—0
FFCA-Net: Stereo Image Compression via Fast Cascade Alignment of Side Information—0
Scalable Face Image Coding via StyleGAN Prior: Towards Compression for Human-Machine Collaborative Vision—0
The Rate-Distortion-Perception-Classification Tradeoff: Joint Source Coding and Modulation via Inverse-Domain GANs—0
Quantized Decoder in Learned Image Compression for Deterministic Reconstruction—0
Unified learning-based lossy and lossless JPEG recompression—0
Hyperspectral Image Compression Using Sampling and Implicit Neural Representations—0
Technical description of the EPFL submission to the JPEG DNA CfP—0
Corner-to-Center Long-range Context Model for Efficient Learned Image Compression—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