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 901–950 of 1008 papers

TitleStatusHype
Efficient Masked Image Compression with Position-Indexed Self-Attention—0
Efficient Neural Generation of 4K Masks for Homogeneous Diffusion Inpainting—0
Efficient Parallel Data Optimization for Homogeneous Diffusion Inpainting of 4K Images—0
Emergence of Painting Ability via Recognition-Driven Evolution—0
End-to-End Image Compression with Probabilistic Decoding—0
End-to-End Learned Block-Based Image Compression with Block-Level Masked Convolutions and Asymptotic Closed Loop Training—0
End-to-End Learned Image Compression with Quantized Weights and Activations—0
End-to-End Learning of Video Compression Using Spatio-Temporal Autoencoders—0
End-to-End Optimization of JPEG-Based Deep Learning Process for Image Classification—0
End-to-end optimized image compression for machines, a study—0
End-to-end optimized image compression for multiple machine tasks—0
End-to-End Optimized Image Compression with the Frequency-Oriented Transform—0
Enhanced Diagnostic Fidelity in Pathology Whole Slide Image Compression via Deep Learning—0
Enhanced Residual SwinV2 Transformer for Learned Image Compression—0
Enhanced Standard Compatible Image Compression Framework based on Auxiliary Codec Networks—0
Enhancement of theColor Image Compression Using a New Algorithm based on Discrete Hermite Wavelet Transform—0
Enhancing Adversarial Training with Prior Knowledge Distillation for Robust Image Compression—0
Enhancing Perception Quality in Remote Sensing Image Compression via Invertible Neural Network—0
Enhancing the Rate-Distortion-Perception Flexibility of Learned Image Codecs with Conditional Diffusion Decoders—0
Enhancing VVC with Deep Learning based Multi-Frame Post-Processing—0
Enlarging Context with Low Cost: Efficient Arithmetic Coding with Trimmed Convolution—0
Entropy Based Cartoon Texture Separation—0
Entropy-based Guidance of Deep Neural Networks for Accelerated Convergence and Improved Performance—0
Evaluating the Practicality of Learned Image Compression—0
EVC: Towards Real-Time Neural Image Compression with Mask Decay—0
Everyone Can Attack: Repurpose Lossy Compression as a Natural Backdoor Attack—0
Explicit Residual-Based Scalable Image Coding for Humans and Machines—0
Exploiting context dependence for image compression with upsampling—0
Exploration of Learned Lifting-Based Transform Structures for Fully Scalable and Accessible Wavelet-Like Image Compression—0
Exploring adversarial robustness of JPEG AI: methodology, comparison and new methods—0
Exploring Autoencoder-based Error-bounded Compression for Scientific Data—0
Exploring Effective Mask Sampling Modeling for Neural Image Compression—0
Exploring Structural Sparsity in Neural Image Compression—0
Exploring the Limits of Semantic Image Compression at Micro-bits per Pixel—0
Exploring the Rate-Distortion-Complexity Optimization in Neural Image Compression—0
Extending Unsupervised Neural Image Compression With Supervised Multitask Learning—0
Extreme compression of grayscale images—0
Extreme Generative Image Compression by Learning Text Embedding from Diffusion Models—0
Extreme Image Compression using Fine-tuned VQGANs—0
Extreme Image Coding via Multiscale Autoencoders With Generative Adversarial Optimization—0
Fast and Efficient Lenslet Image Compression—0
Fast and High-Performance Learned Image Compression With Improved Checkerboard Context Model, Deformable Residual Module, and Knowledge Distillation—0
Fast Cosine Transform to increase speed-up and efficiency of Karhunen-Loeve Transform for lossy image compression—0
Fast Data-independent KLT Approximations Based on Integer Functions—0
An Efficient Implicit Neural Representation Image Codec Based on Mixed Autoregressive Model for Low-Complexity Decoding—0
Fast Training-free Perceptual Image Compression—0
FD-LSCIC: Frequency Decomposition-based Learned Screen Content Image Compression—0
Feature Compression for Rate Constrained Object Detection on the Edge—0
FEDS: Feature and Entropy-Based Distillation Strategy for Efficient Learned Image Compression—0
Few-Shot Domain Adaptation for Learned Image 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