1 citations · 1 across the 3 of their papers we have counts for
3 papers
DEGMC: Denoising Diffusion Models Based on Riemannian Equivariant Group Morphological Convolutions
El Hadji S. Diop, Thierno Fall, Mohamed Daoudi
In this work, we address two major issues in recent Denoising Diffusion Probabilistic Models (DDPM): {\bf 1)} geometric key feature extraction and {\bf 2)} network equivariance. Si…
Geometric Generative Models based on Morphological Equivariant PDEs and GANs
El Hadji S. Diop, Thierno Fall, Alioune Mbengue +1
Content and image generation consist in creating or generating data from noisy information by extracting specific features such as texture, edges, and other thin image structures.…
Basis restricted elastic shape analysis on the space of unregistered surfaces
Emmanuel Hartman, Emery Pierson, Martin Bauer +2
This paper introduces a new mathematical and numerical framework for surface analysis derived from the general setting of elastic Riemannian metrics on shape spaces. Traditionally,…