Supervisor: Simone Milani
Co-supervisor: Chiara Schiavo; Leonardo Monchieri; Elena Camuffo
Co-supervisor Department/Company: Simone Milani
Creation Date: 15/07/2025 22:15
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. Generation of 3D models within Gaussian framework.
2. Completion of Gaussian Splatting reconstructed scenes with in case of occluded objects.
Thesis require a preliminary knowledge of Computer Vision and Python programming.
Dataset type: Already acquired data
Dataset description: Multiview pictures taken from a given scene
List of Methods: 3D Gaussian Splatting, Generative Adversarial Networks, Diffusion Models
3D Vision and eXtended Reality