Neural Network Inductive Biases for High-fidelity 3D Reconstruction
High-fidelity 3D reconstruction demands representations that capture both coarse structure and subtle geometric details. Implicit Neural Representations can encode 3D geometry at …
Selected Projects
Here is a selection of projects that I have worked on recently.
Analysis of Iterative Closest Point Algorithms
Iterative closest point (ICP) is a well-known algorithm for shape alignment. ICP is widely used in computer vision to integrate data from different viewpoints and sensors. The goal …
3D Affine Transformations on Neural Fields
Creating neural network architectures that use weights and biases of another neural network as an input is a new and promising field. Possible applications are prediction of input …