4 papers · 1 filter
Spectral Collapse in Diffusion Inversion
Nicolas Bourriez, Alexandre Verine, Auguste Genovesio
Conditional diffusion inversion provides a powerful framework for unpaired image-to-image translation. However, we demonstrate through an extensive analysis that standard determini…
DiViD: Disentangled Video Diffusion for Static-Dynamic Factorization
Marzieh Gheisari, Auguste Genovesio
Unsupervised disentanglement of static appearance and dynamic motion in video remains a fundamental challenge, often hindered by information leakage and blurry reconstructions in e…
DiffEx: Explaining a Classifier with Diffusion Models to Identify Microscopic Cellular Variations
Anis Bourou, Saranga Kingkor Mahanta, Thomas Boyer +2
In recent years, deep learning models have been extensively applied to biological data across various modalities. Discriminative deep learning models have excelled at classifying i…
Revealing Subtle Phenotypes in Small Microscopy Datasets Using Latent Diffusion Models
Anis Bourou, Biel Castaño Segade, Thomas Boyer +2
Identifying subtle phenotypic variations in cellular images is critical for advancing biological research and accelerating drug discovery. These variations are often masked by the…