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 551–600 of 1008 papers

TitleStatusHype
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
AccelIR: Task-Aware Image Compression for Accelerating Neural Restoration—0
AdaNIC: Towards Practical Neural Image Compression via Dynamic Transform RoutingCode0
RFD-ECNet: Extreme Underwater Image Compression with Reference to Feature DictionaryCode0
Dec-Adapter: Exploring Efficient Decoder-Side Adapter for Bridging Screen Content and Natural Image Compression—0
Learned Lossless Image Compression Through Interpolation With Low ComplexityCode0
Content Adaptive Latents and Decoder for Neural Image Compression—0
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
Device Interoperability for Learned Image Compression with Weights and Activations Quantization—0
A Learned Pixel-by-Pixel Lossless Image Compression Method with 59K Parameters and Parallel DecodingCode0
Extreme Generative Image Compression by Learning Text Embedding from Diffusion Models—0
A Comprehensive Survey of Transformers for Computer Vision—0
Rate-Distortion Optimized Post-Training Quantization for Learned Image Compression—0
Recovering Sign Bits of DCT Coefficients in Digital Images as an Optimization ProblemCode0
Improving Multi-generation Robustness of Learned Image Compression—0
Optimising Different Feature Types for Inpainting-based Image Representations—0
SINCO: A Novel structural regularizer for image compression using implicit neural 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
Attention-Based Generative Neural Image Compression on Solar Dynamics Observatory—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
Visually Similar Products Retrieval for Shopsy—0
Improving The Reconstruction Quality by Overfitted Decoder Bias in Neural Image Compression—0
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
Learning sparse auto-encoders for green AI image coding—0
Energy-Aware JPEG Image Compression: A Multi-Objective ApproachCode0
A Secure and Efficient Multi-Object Grasping Detection Approach for Robotic Arms—0
Learned Image Compression with Generalized Octave Convolution and Cross-Resolution Parameter Estimation—0
Learned Distributed Image Compression with Multi-Scale Patch Matching in Feature Domain—0
Semantic Segmentation in Learned Compressed Domain—0
Reducing The Amortization Gap of Entropy Bottleneck In End-to-End Image Compression—0
Edge-Aware Extended Star-Tetrix Transforms for CFA-Sampled Raw Camera Image Compression—0
Learned Lossless Image Compression With Combined Autoregressive Models And Attention Modules—0
Deep Spatial and Tonal Data Optimisation for Homogeneous Diffusion Inpainting—0
Learned Lossless JPEG Transcoding via Joint Lossy and Residual Compression—0
Learning to Structure an Image with Few Colors and Beyond—0
RAWtoBit: A Fully End-to-end Camera ISP Network—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