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 101–150 of 1008 papers

TitleStatusHype
Frequency-Biased Synergistic Design for Image Compression and Compensation—0
Test-Time Fine-Tuning of Image Compression Models for Multi-Task Adaptability—0
MERCURY: A fast and versatile multi-resolution based global emulator of compound climate hazardsCode0
Ultra-Low Complexity On-Orbit Compression for Remote Sensing Imagery via Block Modulated ImagingCode0
Semantics Disentanglement and Composition for Versatile Codec toward both Human-eye Perception and Machine Vision Task—0
AsymLLIC: Asymmetric Lightweight Learned Image Compression—0
CALLIC: Content Adaptive Learning for Lossless Image Compression—0
Sparse Point Clouds Assisted Learned Image Compression—0
Quantum Implicit Neural Compression—0
Stable Diffusion is a Natural Cross-Modal Decoder for Layered AI-generated Image Compression—0
Controllable Distortion-Perception Tradeoff Through Latent Diffusion for Neural Image Compression—0
Point Cloud-Assisted Neural Image Compression—0
Progressive Compression with Universally Quantized Diffusion Models—0
Real-time Identity Defenses against Malicious Personalization of Diffusion ModelsCode1
Versatile Volumetric Medical Image Coding for Human-Machine Vision—0
Unicorn: Unified Neural Image Compression with One Number ReconstructionCode0
Vision Transformer-based Semantic Communications With Importance-Aware Quantization—0
UniMIC: Towards Universal Multi-modality Perceptual Image CompressionCode0
LL-ICM: Image Compression for Low-level Machine Vision via Large Vision-Language Model—0
Is JPEG AI going to change image forensics?Code1
Robust and Transferable Backdoor Attacks Against Deep Image Compression With Selective Frequency Prior—0
Good, Cheap, and Fast: Overfitted Image Compression with Wasserstein Distortion—0
DeepFGS: Fine-Grained Scalable Coding for Learned Image Compression—0
Upsampling Improvement for Overfitted Neural Coding—0
Generalized Gaussian Model for Learned Image Compression—0
Learning Optimal Linear Block Transform by Rate Distortion Minimization—0
Learning Optimal Lattice Vector Quantizers for End-to-end Neural Image Compression—0
Variable-size Symmetry-based Graph Fourier Transforms for image compression—0
An Information-Theoretic Regularizer for Lossy Neural Image Compression—0
Image Compression Using Novel View Synthesis Priors—0
LMM-driven Semantic Image-Text Coding for Ultra Low-bitrate Learned Image CompressionCode1
Large Language Models for Lossless Image Compression: Next-Pixel Prediction in Language Space is All You Need—0
Exploring adversarial robustness of JPEG AI: methodology, comparison and new methods—0
Deep Learning-Based Image Compression for Wireless Communications: Impacts on Reliability,Throughput, and LatencyCode0
An End-to-End Real-World Camera Imaging Pipeline—0
Efficient Progressive Image Compression with Variance-aware MaskingCode0
JPEG AI Image Compression Visual Artifacts: Detection Methods and Dataset—0
Enhancing Learned Image Compression via Cross Window-based AttentionCode0
Conditional Hallucinations for Image Compression—0
Learning Lossless Compression for High Bit-Depth Volumetric Medical Image—0
FIPER: Generalizable Factorized Features for Robust Low-Level Vision Models—0
Test-time adaptation for image compression with distribution regularization—0
Towards Reproducible Learning-based Compression—0
Fine-grained subjective visual quality assessment for high-fidelity compressed imagesCode0
Fast Data-independent KLT Approximations Based on Integer Functions—0
Compressing high-resolution data through latent representation encoding for downscaling large-scale AI weather forecast model—0
Delta-ICM: Entropy Modeling with Delta Function for Learned Image Compression—0
JPEG Inspired Deep LearningCode0
Toward Scalable Image Feature Compression: A Content-Adaptive and Diffusion-Based Approach—0
Causal Context Adjustment Loss for Learned Image CompressionCode2
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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