DynamicSurf: Dynamic Neural RGB-D Surface Reconstruction with an Optimizable Feature Grid

no code implementations • 14 Nov 2023 • Mirgahney Mohamed, Lourdes Agapito

We depart from current neural non-rigid surface reconstruction models by designing the canonical representation as a learned feature grid which leads to faster and more accurate surface reconstruction than competing approaches that use a single MLP.

3D Reconstruction Surface Reconstruction

GNPM: Geometric-Aware Neural Parametric Models

no code implementations • 21 Sep 2022 • 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 spaces of 4D dynamics, using a geometric-aware architecture on point clouds.

Pose Transfer

A Data and Compute Efficient Design for Limited-Resources Deep Learning

no code implementations • 21 Apr 2020 • Mirgahney Mohamed, Gabriele Cesa, Taco S. Cohen, Max Welling

Thanks to their improved data efficiency, equivariant neural networks have gained increased interest in the deep learning community.

Quantization