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 351–400 of 1008 papers

TitleStatusHype
Rate-Distortion-Cognition Controllable Versatile Neural Image Compression—0
OMR-NET: a two-stage octave multi-scale residual network for screen content image compressionCode0
Rethinking Image Compression on the Web with Generative AI—0
QET: Enhancing Quantized LLM Parameters and KV cache Compression through Element Substitution and Residual Clustering—0
Autoencoded Image Compression for Secure and Fast TransmissionCode0
Image-GS: Content-Adaptive Image Representation via 2D Gaussians—0
A Study on the Effect of Color Spaces in Learned Image Compression—0
Learned Image Compression for HE-stained Histopathological Images via Stain Deconvolution—0
On Efficient Neural Network Architectures for Image CompressionCode0
Optimal Matrix-Mimetic Tensor Algebras via Variable ProjectionCode0
Image Compression with Isotropic and Anisotropic Shepard Inpainting—0
Region of Interest Loss for Anonymizing Learned Image CompressionCode0
PatchSVD: A Non-uniform SVD-based Image Compression AlgorithmCode0
Exploring Distortion Prior with Latent Diffusion Models for Remote Sensing Image CompressionCode0
Lossless Image Compression Using Multi-level Dictionaries: Binary Images—0
A Review of Pulse-Coupled Neural Network Applications in Computer Vision and Image Processing—0
UniCompress: Enhancing Multi-Data Medical Image Compression with Knowledge Distillation—0
Refining Coded Image in Human Vision Layer Using CNN-Based Post-Processing—0
Enhancing Perception Quality in Remote Sensing Image Compression via Invertible Neural Network—0
Sensitivity Decouple Learning for Image Compression Artifacts Reduction—0
On the Adversarial Robustness of Learning-based Image Compression Against Rate-Distortion Attacks—0
Group-aware Parameter-efficient Updating for Content-Adaptive Neural Video Compression—0
Neural Graphics Texture Compression Supporting Random Access—0
Computational ghost imaging with hybrid transforms by integrating Hadamard, discrete cosine, and Haar matrices—0
A Rate-Distortion-Classification Approach for Lossy Image Compression—0
GroupedMixer: An Entropy Model with Group-wise Token-Mixers for Learned Image Compression—0
Domain Adaptation for Learned Image Compression with Supervised AdaptersCode0
HybridFlow: Infusing Continuity into Masked Codebook for Extreme Low-Bitrate Image Compression—0
Image Generative Semantic Communication with Multi-Modal Similarity Estimation for Resource-Limited Networks—0
Compressible and Searchable: AI-native Multi-Modal Retrieval System with Learned Image Compression—0
MarsQE: Semantic-Informed Quality Enhancement for Compressed Martian Image—0
Mitigating Challenges of the Space Environment for Onboard Artificial Intelligence: Design Overview of the Imaging Payload on SpIRIT—0
Lossy Image Compression with Foundation Diffusion Models—0
Learning to Classify New Foods Incrementally Via Compressed Exemplars—0
Fine color guidance in diffusion models and its application to image compression at extremely low bitrates—0
Image and Video Compression using Generative Sparse Representation with Fidelity Controls—0
Correcting Diffusion-Based Perceptual Image Compression with Privileged End-to-End Decoder—0
Power-Efficient Image Storage: Leveraging Super Resolution Generative Adversarial Network for Sustainable Compression and Reduced Carbon Footprint—0
Convolutional variational autoencoders for secure lossy image compression in remote sensing—0
The Rate-Distortion-Perception Trade-off: The Role of Private Randomness—0
Neural Image Compression with Quantization Rectifier—0
Laplacian-guided Entropy Model in Neural Codec with Blur-dissipated Synthesis—0
Powerful Lossy Compression for Noisy Images—0
Super-High-Fidelity Image Compression via Hierarchical-ROI and Adaptive Quantization—0
Privacy-Preserving Face Recognition Using Trainable Feature Subtraction—0
Overfitted image coding at reduced complexity—0
Channel-wise Feature Decorrelation for Enhanced Learned Image Compression—0
Noise Dimension of GAN: An Image Compression Perspective—0
Enhancing Adversarial Training with Prior Knowledge Distillation for Robust Image Compression—0
Probing Image Compression For Class-Incremental Learning—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