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 451–500 of 1008 papers

TitleStatusHype
Hypernetworks build Implicit Neural Representations of SoundsCode1
Hyperspectral Image Compression Using Implicit Neural Representation—0
Improving Statistical Fidelity for Neural Image Compression with Implicit Local Likelihood ModelsCode0
LDMIC: Learning-based Distributed Multi-view Image CodingCode1
A^2-UAV: Application-Aware Content and Network Optimization of Edge-Assisted UAV Systems—0
A Residual Diffusion Model for High Perceptual Quality Codec Augmentation—0
A Specific Task-oriented Semantic Image Communication System for substation patrol inspection—0
Frequency-aware Learned Image Compression for Quality Scalability—0
AdaNIC: Towards Practical Neural Image Compression via Dynamic Transform RoutingCode0
Dec-Adapter: Exploring Efficient Decoder-Side Adapter for Bridging Screen Content and Natural Image Compression—0
RFD-ECNet: Extreme Underwater Image Compression with Reference to Feature DictionaryCode0
Towards Robust Tampered Text Detection in Document Image: New Dataset and New SolutionCode1
AccelIR: Task-Aware Image Compression for Accelerating Neural Restoration—0
Multi-Realism Image Compression with a Conditional GeneratorCode1
Learned Lossless Image Compression Through Interpolation With Low ComplexityCode0
Content Adaptive Latents and Decoder for Neural Image Compression—0
Efficient Visual Computing with Camera RAW SnapshotsCode1
Image Compression with Product Quantized Masked Image Modeling—0
Metaheuristic-based Energy-aware Image Compression for Mobile App Development—0
Learning-Based Conditional Image Coder Using Color Separation—0
A Novel Stochastic Gradient Descent Algorithm for Learning Principal Subspaces—0
Image Compression With Learned Lifting-Based DWT and Learned Tree-Based Entropy ModelsCode0
A Learned Pixel-by-Pixel Lossless Image Compression Method with 59K Parameters and Parallel DecodingCode0
Device Interoperability for Learned Image Compression with Weights and Activations Quantization—0
Distributed Deep Joint Source-Channel Coding over a Multiple Access ChannelCode1
Extreme Generative Image Compression by Learning Text Embedding from Diffusion Models—0
MLIC: Multi-Reference Entropy Model for Learned Image CompressionCode1
A Comprehensive Survey of Transformers for Computer Vision—0
Selective compression learning of latent representations for variable-rate image compressionCode1
Rate-Distortion Optimized Post-Training Quantization for Learned Image Compression—0
Recovering Sign Bits of DCT Coefficients in Digital Images as an Optimization ProblemCode0
Universal Deep Image Compression via Content-Adaptive Optimization with AdaptersCode1
On the detection of synthetic images generated by diffusion modelsCode2
Improving Multi-generation Robustness of Learned Image Compression—0
SINCO: A Novel structural regularizer for image compression using implicit neural representations—0
Optimising Different Feature Types for Inpainting-based Image Representations—0
Robust Singular Values based on L1-norm PCA—0
Towards Dynamic Fault Tolerance for Hardware-Implemented Artificial Neural Networks: A Deep Learning Approach—0
QMRNet: Quality Metric Regression for EO Image Quality Assessment and Super-ResolutionCode0
Reducing The Mismatch Between Marginal and Learned Distributions in Neural Video Compression—0
Attention-Based Generative Neural Image Compression on Solar Dynamics Observatory—0
Improving The Reconstruction Quality by Overfitted Decoder Bias in Neural Image Compression—0
Visually Similar Products Retrieval for Shopsy—0
Invertible Rescaling Network and Its ExtensionsCode2
Leveraging progressive model and overfitting for efficient learned image compression—0
GOLLIC: Learning Global Context beyond Patches for Lossless High-Resolution Image Compression—0
HeartSpot: Privatized and Explainable Data Compression for Cardiomegaly DetectionCode0
Multi-Sample Training for Neural Image Compression—0
Flexible Neural Image Compression via Code Editing—0
Data Efficient Visual Place Recognition Using Extremely JPEG-Compressed Images—0
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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