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 1–50 of 1008 papers

TitleStatusHype
Exploring Compressed Image Representation as a Perceptual Proxy: A StudyCode7
HAT: Hybrid Attention Transformer for Image RestorationCode3
Compact 3D Scene Representation via Self-Organizing Gaussian GridsCode3
Learned Image Compression with Mixed Transformer-CNN ArchitecturesCode2
Learned Image Compression with Dictionary-based Entropy ModelCode2
Compressed Image Generation with Denoising Diffusion Codebook ModelsCode2
3D Point Cloud Compression with Recurrent Neural Network and Image Compression MethodsCode2
Once-for-All: Controllable Generative Image Compression with Dynamic Granularity AdaptionCode2
Causal Context Adjustment Loss for Learned Image CompressionCode2
Beyond LLaVA-HD: Diving into High-Resolution Large Multimodal ModelsCode2
ContextGS: Compact 3D Gaussian Splatting with Anchor Level Context ModelCode2
Extreme Video Compression with Pre-trained Diffusion ModelsCode2
Fully-fused Multi-Layer Perceptrons on Intel Data Center GPUsCode2
Invertible Rescaling Network and Its ExtensionsCode2
On the detection of synthetic images generated by diffusion modelsCode2
Image Compression for Machine and Human Vision with Spatial-Frequency AdaptationCode2
Lossless Image Compression through Super-ResolutionCode2
Mean Deviation Similarity Index: Efficient and Reliable Full-Reference Image Quality EvaluatorCode2
PerCo (SD): Open Perceptual CompressionCode2
Wuerstchen: An Efficient Architecture for Large-Scale Text-to-Image Diffusion ModelsCode2
Towards Extreme Image Compression with Latent Feature Guidance and Diffusion PriorCode2
Shadowcast: Stealthy Data Poisoning Attacks Against Vision-Language ModelsCode2
MambaIC: State Space Models for High-Performance Learned Image CompressionCode2
Efficient Nonlinear Transforms for Lossy Image CompressionCode1
COIN: COmpression with Implicit Neural representationsCode1
Dynamic Low-Rank Instance Adaptation for Universal Neural Image CompressionCode1
Efficient Visual Computing with Camera RAW SnapshotsCode1
DPICT: Deep Progressive Image Compression Using Trit-PlanesCode1
ECSIC: Epipolar Cross Attention for Stereo Image CompressionCode1
CMC-Bench: Towards a New Paradigm of Visual Signal CompressionCode1
Checkerboard Context Model for Efficient Learned Image CompressionCode1
CompressAI: a PyTorch library and evaluation platform for end-to-end compression researchCode1
Channel-Level Variable Quantization Network for Deep Image CompressionCode1
Comparison of Image Quality Models for Optimization of Image Processing SystemsCode1
Channel-wise Autoregressive Entropy Models for Learned Image CompressionCode1
Distributed Deep Joint Source-Channel Coding over a Multiple Access ChannelCode1
EGIC: Enhanced Low-Bit-Rate Generative Image Compression Guided by Semantic SegmentationCode1
Neural Distributed Image Compression using Common InformationCode1
Deep Image Compression using Decoder Side InformationCode1
DiffHarmony: Latent Diffusion Model Meets Image HarmonizationCode1
Bidirectional Stereo Image Compression with Cross-Dimensional Entropy ModelCode1
COSMIC: Compress Satellite Images Efficiently via Diffusion CompensationCode1
Boosting Neural Image Compression for Machines Using Latent Space MaskingCode1
AIM 2024 Challenge on UHD Blind Photo Quality AssessmentCode1
Deep Image Semantic Communication Model for Artificial Intelligent Internet of ThingsCode1
Deep Lossy Plus Residual Coding for Lossless and Near-lossless Image CompressionCode1
CLNet: Complex Input Lightweight Neural Network designed for Massive MIMO CSI FeedbackCode1
All-in-One Image Coding for Joint Human-Machine Vision with Multi-Path AggregationCode1
All-in-One Image Compression and RestorationCode1
Beyond Learned Metadata-based Raw Image ReconstructionCode1
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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