Supervisor: Simone Milani
Co-supervisor: Chiara Schiavo; Leonardo Monchieri; Elena Camuffo
Co-supervisor Department/Company: Simone Milani
Creation Date: 15/07/2025 22:10
3D Gaussian splatting is a novel technique for real-time rendering of complex 3D scenes. It represents a scene as a collection of 3D Gaussian primitives, which are efficiently rendered to create high-quality, view-dependent images with impressive detail and speed.
The candidates that are interested on this thesis topics will focus on:
1. Estimate the lighting on the multi-view images used in Gaussian Splatting reconstructions.
2. Estimate the material properties and textures in Splatting reconstructions.
Thesis require a preliminary knowledge of Computer Vision and Python programming.
Dataset type: Already acquired data
Dataset description: dataset of pictures taken from different viewpoints in a given static scene
List of Methods: 3D Gaussian splatting, semantic segmentation, point cloud reconstruction
3D Vision & eXtended Reality