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

Showing 125 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
Causal Context Adjustment Loss for Learned Image CompressionCode2
Shadowcast: Stealthy Data Poisoning Attacks Against Vision-Language ModelsCode2
Wuerstchen: An Efficient Architecture for Large-Scale Text-to-Image Diffusion ModelsCode2
MambaIC: State Space Models for High-Performance Learned Image CompressionCode2
Extreme Video Compression with Pre-trained Diffusion ModelsCode2
Learned Image Compression with Dictionary-based Entropy ModelCode2
Lossless Image Compression through Super-ResolutionCode2
On the detection of synthetic images generated by diffusion modelsCode2
PerCo (SD): Open Perceptual CompressionCode2
ContextGS: Compact 3D Gaussian Splatting with Anchor Level Context ModelCode2
Towards Extreme Image Compression with Latent Feature Guidance and Diffusion PriorCode2
Compressed Image Generation with Denoising Diffusion Codebook ModelsCode2
Image Compression for Machine and Human Vision with Spatial-Frequency AdaptationCode2
Mean Deviation Similarity Index: Efficient and Reliable Full-Reference Image Quality EvaluatorCode2
Fully-fused Multi-Layer Perceptrons on Intel Data Center GPUsCode2
3D Point Cloud Compression with Recurrent Neural Network and Image Compression MethodsCode2
Invertible Rescaling Network and Its ExtensionsCode2
Beyond LLaVA-HD: Diving into High-Resolution Large Multimodal ModelsCode2
Learned Image Compression with Mixed Transformer-CNN ArchitecturesCode2
Once-for-All: Controllable Generative Image Compression with Dynamic Granularity AdaptionCode2
COIN: COmpression with Implicit Neural representationsCode1
CMC-Bench: Towards a New Paradigm of Visual Signal CompressionCode1
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1STFBD-Rate over VTM-17.0-2.48Unverified
2WACNNBD-Rate over VTM-17.0-2.95Unverified
3ELICBD-Rate over VTM-17.0-5.95Unverified
4MLICBD-Rate over VTM-17.0-8.05Unverified
5SegPICBD-Rate over VTM-17.0-8.18Unverified
6LIC-TCM LargeBD-Rate over VTM-17.0-10.14Unverified
7MLIC+BD-Rate over VTM-17.0-11.39Unverified
8MLIC++BD-Rate over VTM-17.0-13.39Unverified
#ModelMetricClaimedVerifiedStatus
1PNGbpsp6.42Unverified
2JPEG2000bpsp6.35Unverified
3L3Cbpsp4.76Unverified
4MS-PixelCNNbpsp3.95Unverified
5iFlowbpsp3.88Unverified
#ModelMetricClaimedVerifiedStatus
1RK-CCSNetAverage PSNR30.51Unverified
#ModelMetricClaimedVerifiedStatus
1Lossyless CompressorBit rate1,340Unverified
#ModelMetricClaimedVerifiedStatus
1Lossyless CompressorBit rate1,470Unverified
#ModelMetricClaimedVerifiedStatus
1Lossyless CompressorBit rate1,410Unverified
#ModelMetricClaimedVerifiedStatus
1SUDHEER10%1Unverified
#ModelMetricClaimedVerifiedStatus
1Lossyless CompressorBit rate1,270Unverified
#ModelMetricClaimedVerifiedStatus
1Lossyless CompressorBit rate1,210Unverified
#ModelMetricClaimedVerifiedStatus
1Lossyless CompressorBit rate1,490Unverified
#ModelMetricClaimedVerifiedStatus
1Lossyless CompressorBit rate1,340Unverified