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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 851–900 of 1008 papers

TitleStatusHype
DeepFGS: Fine-Grained Scalable Coding for Learned Image Compression—0
Deep Image Compression Using Scene Text Quality Assessment—0
Deep Learning-based Image Compression with Trellis Coded Quantization—0
Deep Lossless Image Compression via Masked Sampling and Coarse-to-Fine Auto-Regression—0
Deep Networks for Compressed Image Sensing—0
DeepN-JPEG: A Deep Neural Network Favorable JPEG-based Image Compression Framework—0
Deep Perceptual Compression—0
Deep Perceptual Image Quality Assessment for Compression—0
Deep Predictive Video Compression with Bi-directional Prediction—0
Deep Generative Video Compression—0
Deep Probabilistic Video Compression—0
Deep Sampling Networks—0
Deep Selector-JPEG: Adaptive JPEG Image Compression for Computer Vision in Image classification with Human Vision Criteria—0
DeepSIC: Deep Semantic Image Compression—0
Deep Spatial and Tonal Data Optimisation for Homogeneous Diffusion Inpainting—0
Deep Stereo Image Compression via Bi-Directional Coding—0
Deformation Aware Image Compression—0
Delta-ICM: Entropy Modeling with Delta Function for Learned Image Compression—0
MALICE: Manipulation Attacks on Learned Image ComprEssion—0
Dense residual Transformer for image denoising—0
Descriptive analysis of computational methods for automating mammograms with practical applications—0
Design an Advance computer-aided tool for Image Authentication and Classification—0
Development of On Board Computer for a Nanosatellite—0
Device Interoperability for Learned Image Compression with Weights and Activations Quantization—0
Diagnosis-oriented Medical Image Compression with Efficient Transfer Learning—0
Diffusion-based Perceptual Neural Video Compression with Temporal Diffusion Information Reuse—0
Directional Global Three-part Image Decomposition—0
Discernible Image Compression—0
Discrete Cosine Transform in JPEG Compression—0
Distortion-Controlled Dithering with Reduced Recompression Rate—0
Distributed Learning and Inference with Compressed Images—0
Distribution prediction for image compression: An experimental re-compressor for JPEG images—0
DLF: Extreme Image Compression with Dual-generative Latent Fusion—0
DMCNN: Dual-Domain Multi-Scale Convolutional Neural Network for Compression Artifacts Removal—0
DNN-Compressed Domain Visual Recognition with Feature Adaptation—0
Does lossy image compression affect racial bias within face recognition?—0
Dual-layer Image Compression via Adaptive Downsampling and Spatially Varying Upconversion—0
Dynamic Kernel-Based Adaptive Spatial Aggregation for Learned Image Compression—0
Easz: An Agile Transformer-based Image Compression Framework for Resource-constrained IoTs—0
Edge-Aware Autoencoder Design for Real-Time Mixture-of-Experts Image Compression—0
Edge-Aware Extended Star-Tetrix Transforms for CFA-Sampled Raw Camera Image Compression—0
Deep learning-based Edge-aware pre and post-processing methods for JPEG compressed images—0
Edge-based Denoising Image Compression—0
ED: Perceptually tuned Enhanced Compression Model—0
Effect of Lossy Compression Algorithms on Face Image Quality and Recognition—0
Effects of Image Compression on Face Image Manipulation Detection: A Case Study on Facial Retouching—0
Efficient Contextformer: Spatio-Channel Window Attention for Fast Context Modeling in Learned Image Compression—0
Efficient Data Optimisation for Harmonic Inpainting with Finite Elements—0
Efficient Image Compression Using Advanced State Space Models—0
Efficient Learned Lossless JPEG Recompression—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