14 citations · 14 across the 4 of their papers we have counts for
4 papers
RDM: Recurrent Diffusion Model for Human Motion Generation
Mirgahney Mohamed, Harry Jake Cunningham, Marc P. Deisenroth +2
Human motion generation is a challenging task due to its high dimensionality and the difficulty of generating fine-grained motions. Diffusion methods have been proposed due to thei…
DynamicSurf: Dynamic Neural RGB-D Surface Reconstruction with an Optimizable Feature Grid
Mirgahney Mohamed, Lourdes Agapito
We propose DynamicSurf, a model-free neural implicit surface reconstruction method for high-fidelity 3D modelling of non-rigid surfaces from monocular RGB-D video. To cope with the…
GNPM: Geometric-Aware Neural Parametric Models
Mirgahney Mohamed, Lourdes Agapito
We propose Geometric Neural Parametric Models (GNPM), a learned parametric model that takes into account the local structure of data to learn disentangled shape and pose latent spa…
A Data and Compute Efficient Design for Limited-Resources Deep Learning
Mirgahney Mohamed, Gabriele Cesa, Taco S. Cohen +1
Thanks to their improved data efficiency, equivariant neural networks have gained increased interest in the deep learning community. They have been successfully applied in the medi…