6 papers
SpectralSplats: Robust Differentiable Tracking via Spectral Moment Supervision
Avigail Cohen Rimon, Amir Mann, Mirela Ben Chen +1
3D Gaussian Splatting (3DGS) enables real-time, photorealistic novel view synthesis, making it a highly attractive representation for model-based video tracking. However, leveragin…
Phong-Rodrigues Extrinsic Vector-Field Processing
Hongyi Liu, Oded Stein, Amir Vaxman +2
We introduce a new extrinsic discretization of tangent vector fields on triangle meshes that is continuous, with bounded derivatives that are continuous almost everywhere, supporti…
SDFs from Unoriented Point Clouds using Neural Variational Heat Distances
Samuel Weidemaier, Florine Hartwig, Josua Sassen +3
We propose a novel variational approach for computing neural Signed Distance Fields (SDF) from unoriented point clouds. To this end, we replace the commonly used eikonal equation w…
MDNF: Multi-Diffusion-Nets for Neural Fields on Meshes
Avigail Cohen Rimon, Tal Shnitzer, Mirela Ben Chen
We propose a novel framework for representing neural fields on triangle meshes that is multi-resolution across both spatial and frequency domains. Inspired by the Neural Fourier Fi…
FRIDU: Functional Map Refinement with Guided Image Diffusion
Avigail Cohen Rimon, Mirela Ben-Chen, Or Litany
We propose a novel approach for refining a given correspondence map between two shapes. A correspondence map represented as a functional map, namely a change of basis matrix, can b…
CageNet: A Meta-Framework for Learning on Wild Meshes
Michal Edelstein, Hsueh-Ti Derek Liu, Mirela Ben-Chen
Learning on triangle meshes has recently proven to be instrumental to a myriad of tasks, from shape classification, to segmentation, to deformation and animation, to mention just a…