1 citations · 1 across the 4 of their papers we have counts for
5 papers
nvTorchCam: An Open-source Library for Camera-Agnostic Differentiable Geometric Vision
Daniel Lichy, Hang Su, Abhishek Badki +2
We introduce nvTorchCam, an open-source library under the Apache 2.0 license, designed to make deep learning algorithms camera model-independent. nvTorchCam abstracts critical came…
FoVA-Depth: Field-of-View Agnostic Depth Estimation for Cross-Dataset Generalization
Daniel Lichy, Hang Su, Abhishek Badki +2
Wide field-of-view (FoV) cameras efficiently capture large portions of the scene, which makes them attractive in multiple domains, such as automotive and robotics. For such applica…
MVPSNet: Fast Generalizable Multi-view Photometric Stereo
Dongxu Zhao, Daniel Lichy, Pierre-Nicolas Perrin +2
We propose a fast and generalizable solution to Multi-view Photometric Stereo (MVPS), called MVPSNet. The key to our approach is a feature extraction network that effectively combi…
Fast Light-Weight Near-Field Photometric Stereo
Daniel Lichy, Soumyadip Sengupta, David W. Jacobs
We introduce the first end-to-end learning-based solution to near-field Photometric Stereo (PS), where the light sources are close to the object of interest. This setup is especial…
Shape and Material Capture at Home
Daniel Lichy, Jiaye Wu, Soumyadip Sengupta +1
In this paper, we present a technique for estimating the geometry and reflectance of objects using only a camera, flashlight, and optionally a tripod. We propose a simple data capt…