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 1–25 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
Once-for-All: Controllable Generative Image Compression with Dynamic Granularity AdaptionCode2
Shadowcast: Stealthy Data Poisoning Attacks Against Vision-Language ModelsCode2
Wuerstchen: An Efficient Architecture for Large-Scale Text-to-Image Diffusion ModelsCode2
Lossless Image Compression through Super-ResolutionCode2
Fully-fused Multi-Layer Perceptrons on Intel Data Center GPUsCode2
Invertible Rescaling Network and Its ExtensionsCode2
Learned Image Compression with Mixed Transformer-CNN ArchitecturesCode2
On the detection of synthetic images generated by diffusion modelsCode2
PerCo (SD): Open Perceptual CompressionCode2
Compressed Image Generation with Denoising Diffusion Codebook ModelsCode2
Towards Extreme Image Compression with Latent Feature Guidance and Diffusion PriorCode2
Beyond LLaVA-HD: Diving into High-Resolution Large Multimodal ModelsCode2
ContextGS: Compact 3D Gaussian Splatting with Anchor Level Context ModelCode2
MambaIC: State Space Models for High-Performance Learned Image CompressionCode2
Extreme Video Compression with Pre-trained Diffusion ModelsCode2
3D Point Cloud Compression with Recurrent Neural Network and Image Compression MethodsCode2
Image Compression for Machine and Human Vision with Spatial-Frequency AdaptationCode2
Causal Context Adjustment Loss for Learned Image CompressionCode2
Learned Image Compression with Dictionary-based Entropy ModelCode2
Mean Deviation Similarity Index: Efficient and Reliable Full-Reference Image Quality EvaluatorCode2
A Unified End-to-End Framework for Efficient Deep Image CompressionCode1
COIN: COmpression with Implicit Neural representationsCode1
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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