Breaking tunnel vision, imaging AI lifts fluorescence image restoration accuracy and speed

Recent years have witnessed great advances in applying deep learning to improve fluorescence microscopy imaging. However, enhancing the fidelity of image restoration networks and improving their ...
GitHub

DAM-VSR: Disentanglement of Appearance and Motion for Video Super-Resolution (ACM SIGGRAPH 2025)

conda create -n dam-vsr python=3.10.14 conda activate dam-vsr pip install torch==2.1.1 torchvision==0.16.1 torchaudio==2.1.1 --index-url https://download.pytorch.org ...
leewayhertz

How to create a generative audio model?

Generative AI has risen to remarkable prominence, driven by notable AI advancements like ChatGPT. Whether it’s ChatGPT-4, which seamlessly merges text and image generation capabilities or Midjourney, ...
IEEE

Model Inspired Autoencoder for Unsupervised Hyperspectral Image Super-Resolution

Abstract: This article focuses on hyperspectral image (HSI) super-resolution that aims to fuse a low-spatial-resolution HSI and a high-spatial-resolution multispectral image to form a ...
Frontiers

Fourier Ring Correlation and Anisotropic Kernel Density Estimation Improve Deep Learning Based SMLM Reconstruction of Microtubules

Single-molecule super-resolution microscopy (SMLM) techniques like dSTORM can reveal biological structures down to the nanometer scale. The achievable resolution is not only defined by the ...
Frontiers

Downscaling Satellite and Reanalysis Precipitation Products Using Attention-Based Deep Convolutional Neural Nets

High-quality and high-resolution precipitation products are critically important to many hydrological applications. Advances in satellite remote sensing instruments and data retrieval algorithms ...