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 401–450 of 1008 papers

TitleStatusHype
Fully Convolutional Model for Variable Bit Length and Lossy High Density Compression of Mammograms—0
Full Quaternion Representation of Color images: A Case Study on QSVD-based Color Image Compression—0
ConvNeXt-ChARM: ConvNeXt-based Transform for Efficient Neural Image Compression—0
Attack and Defense Analysis of Learned Image Compression—0
Frequency Disentangled Features in Neural Image Compression—0
Frequency-Biased Synergistic Design for Image Compression and Compensation—0
Controllable Distortion-Perception Tradeoff Through Latent Diffusion for Neural Image Compression—0
A Training-Free Defense Framework for Robust Learned Image Compression—0
Connecting Image Inpainting with Denoising in the Homogeneous Diffusion Setting—0
Gain-MLP: Improving HDR Gain Map Encoding via a Lightweight MLP—0
GAN-based Image Compression with Improved RDO Process—0
GANCompress: GAN-Enhanced Neural Image Compression with Binary Spherical Quantization—0
GAN- vs. JPEG2000 Image Compression for Distributed Automotive Perception: Higher Peak SNR Does Not Mean Better Semantic Segmentation—0
Gated Context Model with Embedded Priors for Deep Image Compression—0
Generalized Gaussian Model for Learned Image Compression—0
A Comprehensive Benchmark for Single Image Compression Artifacts Reduction—0
Frequency-Aware Re-Parameterization for Over-Fitting Based Image Compression—0
Continuous Patch Stitching for Block-wise Image Compression—0
Frequency-aware Learned Image Compression for Quality Scalability—0
Generative Image Compression by Estimating Gradients of the Rate-variable Feature Distribution—0
Generative Inpainting Network Applications on Seismic Image Compression and Non-Uniform Sampling—0
Generative Latent Coding for Ultra-Low Bitrate Image Compression—0
A Taxonomy of Miscompressions: Preparing Image Forensics for Neural Compression—0
GOLLIC: Learning Global Context beyond Patches for Lossless High-Resolution Image Compression—0
Gone With the Bits: Revealing Racial Bias in Low-Rate Neural Compression for Facial Images—0
Good, Cheap, and Fast: Overfitted Image Compression with Wasserstein Distortion—0
Fractional Calculus In Image Processing: A Review—0
Gradient Magnitude Similarity Deviation: A Highly Efficient Perceptual Image Quality Index—0
Image Processing via Multilayer Graph Spectra—0
Graph Spectral Image Processing—0
Group-aware Parameter-efficient Updating for Content-Adaptive Neural Video Compression—0
GroupedMixer: An Entropy Model with Group-wise Token-Mixers for Learned Image Compression—0
Guided Diffusion for the Extension of Machine Vision to Human Visual Perception—0
FPGA based Parallelized Architecture of Efficient Graph based Image Segmentation Algorithm—0
FPGA-based Binocular Image Feature Extraction and Matching System—0
HDCompression: Hybrid-Diffusion Image Compression for Ultra-Low Bitrates—0
Contextformer: A Transformer with Spatio-Channel Attention for Context Modeling in Learned Image Compression—0
Efficient Pruning for Machine Learning Under Homomorphic Encryption—0
QET: Enhancing Quantized LLM Parameters and KV cache Compression through Element Substitution and Residual Clustering—0
A Systematic Evaluation of Coding Strategies for Sparse Binary Images—0
Saliency Driven Perceptual Image Compression—0
Hierarchical Image Compression Framework—0
Fourth-Order Anisotropic Diffusion for Inpainting and Image Compression—0
High Efficiency Image Compression for Large Visual-Language Models—0
Fourier Spectrum Discrepancies in Deep Network Generated Images—0
Fourier-Modulated Implicit Neural Representation for Multispectral Satellite Image Compression—0
Forward Error Correction applied to JPEG-XS codestreams—0
Flow to the Mode: Mode-Seeking Diffusion Autoencoders for State-of-the-Art Image Tokenization—0
Content-oriented learned image compression—0
Flow-Lenia.png: Evolving Multi-Scale Complexity by Means of Compression—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