Search Results for author:
Found 3 papers, 2 papers with code
Mesh-Learner: Texturing Mesh with Spherical Harmonics
Conversely, gradients from each pixel are back-propagated to the related SH Texels in SH textures.
GS-SDF: LiDAR-Augmented Gaussian Splatting and Neural SDF for Geometrically Consistent Rendering and Reconstruction
The accurate LiDAR point clouds enable a trained neural signed distance field to offer a manifold geometry field, This motivates us to offer an SDF-based Gaussian initialization for physically grounded primitive placement and a comprehensive geometric regularization for geometrically consistent rendering and reconstruction.
Neural Surface Reconstruction and Rendering for LiDAR-Visual Systems
We unify the training of the NDF and NeRF using a spatial-varying scale SDF-to-density transformation for levels of detail for both structure and appearance.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
