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 201–225 of 1008 papers

TitleStatusHype
An Autoencoder-based Learned Image Compressor: Description of Challenge Proposal by NCTU—0
3-D Context Entropy Model for Improved Practical Image Compression—0
Batch Normalization Alleviates the Spectral Bias in Coordinate Networks—0
Bandwidth-efficient Inference for Neural Image Compression—0
A Cross Channel Context Model for Latents in Deep Image Compression—0
Analysis of Neural Image Compression Networks for Machine-to-Machine Communication—0
Generative Imaging and Image Processing via Generative Encoder—0
Machine Vision Guided 3D Medical Image Compression for Efficient Transmission and Accurate Segmentation in the Clouds—0
Deep Spatial and Tonal Data Optimisation for Homogeneous Diffusion Inpainting—0
Deep Stereo Image Compression via Bi-Directional Coding—0
Descriptive analysis of computational methods for automating mammograms with practical applications—0
An Adaptive Statistical Non-uniform Quantizer for Detail Wavelet Components in Lossy JPEG2000 Image Compression—0
Automatic Text Line Segmentation Directly in JPEG Compressed Document Images—0
A Compression Objective and a Cycle Loss for Neural Image Compression—0
DCT Approximations Based on Chen's Factorization—0
Data Stealing Attack on Medical Images: Is it Safe to Export Networks from Data Lakes?—0
Autoencoders with Variable Sized Latent Vector for Image Compression—0
Data Efficient Visual Place Recognition Using Extremely JPEG-Compressed Images—0
Dec-Adapter: Exploring Efficient Decoder-Side Adapter for Bridging Screen Content and Natural Image Compression—0
Decouple Distortion from Perception: Region Adaptive Diffusion for Extreme-low Bitrate Perception Image Compression—0
DeepAdversaries: Examining the Robustness of Deep Learning Models for Galaxy Morphology Classification—0
“Zero-Shot” Super-Resolution Using Deep Internal Learning—0
Backdoor Attacks Against Deep Image Compression via Adaptive Frequency Trigger—0
Deep Convolutional Neural Network for Image Deconvolution—0
Data-Efficient Sequence-Based Visual Place Recognition with Highly Compressed JPEG Images—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