MS-SSIM
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Benchmarks
DocUNet
Most implemented
Variational image compression with a scale hyperprior
End-to-end Optimized Image Compression
CompressAI: a PyTorch library and evaluation platform for end-to-end compression research
OpenDVC: An Open Source Implementation of the DVC Video Compression Method
Learned Image Compression with Discretized Gaussian Mixture Likelihoods and Attention Modules
DVC: An End-to-end Deep Video Compression Framework
Papers
Enhancing Privacy: The Utility of Stand-Alone Synthetic CT and MRI for Tumor and Bone Segmentation
AI requires extensive datasets, while medical data is subject to high data protection. Anonymization is essential, but poses a challenge for some regions, such as the head, as identifying structures overlap with regions …
MS-SSIMSegmentationSSIMTumor SegmentationMRI Image Generation Based on Text Prompts
This study explores the use of text-prompted MRI image generation with the Stable Diffusion (SD) model to address challenges in acquiring real MRI datasets, such as high costs, limited rare case samples, and privacy conc…
Image GenerationMS-SSIMSSIMHow Learnable Grids Recover Fine Detail in Low Dimensions: A Neural Tangent Kernel Analysis of Multigrid Parametric Encodings
Neural networks that map between low dimensional spaces are ubiquitous in computer graphics and scientific computing; however, in their naive implementation, they are unable to learn high frequency information. We presen…
MS-SSIMregressionSSIMDo image and video quality metrics model low-level human vision?
Image and video quality metrics, such as SSIM, LPIPS, and VMAF, are aimed to predict the perceived quality of the evaluated content and are often claimed to be "perceptual". Yet, few metrics directly model human visual p…
MS-SSIMSSIMEnhanced Diagnostic Fidelity in Pathology Whole Slide Image Compression via Deep Learning
Accurate diagnosis of disease often depends on the exhaustive examination of Whole Slide Images (WSI) at microscopic resolution. Efficient handling of these data-intensive images requires lossy compression techniques. Th…
DiagnosticImage CompressionMS-SSIMSSIM+1Pretext Task Adversarial Learning for Unpaired Low-field to Ultra High-field MRI Synthesis
Given the scarcity and cost of high-field MRI, the synthesis of high-field MRI from low-field MRI holds significant potential when there is limited data for training downstream tasks (e.g. segmentation). Low-field MRI of…
Contrastive LearningMS-SSIMSSIM