Supervisor: Simone Milani
Co-supervisor: Chiara Schiavo; Leonardo Monchieri; Elena Camuffo
Co-supervisor Department/Company: Simone Milani
Creation Date: 15/07/2025 22:20
The candidates that are interested on this thesis topics will focus on reviewing some of the state-of-the-art approaches for the generation of 3D models using generative AI approaches such as GANs (Generative Adversarial Networks) and diffusion models.
Thesis require Python programming and a preliminary knowledge of DSP.
Dataset type: Already acquired data
Dataset description: 3D models
List of Methods: GANs, diffusion models
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