Luca Savant Aira

Titolo della tesi

Deep Learning for 3D World Representations

Argomento di ricerca

Multi-image restoration exploiting neural implicit world models

Tutori

• Enrico Magli
• Diego Valsesia
• Giulia Fracastoro

Corso di laurea magistrale

• Signal, image and video processing and learning (modulo di Image and video processing and learning). A.A. 2023/24, COMMUNICATIONS ENGINEERING. Collaboratore del corso
• Statistical learning and neural networks. A.A. 2023/24, ICT FOR SMART SOCIETIES (ICT PER LA SOCIETA' DEL FUTURO). Collaboratore del corso

Corso di laurea di 1° livello

• Elaborazione di immagine e video. A.A. 2025/26, INGEGNERIA DEL CINEMA E DEI MEZZI DI COMUNICAZIONE. Collaboratore del corso

• Aira, Luca Savant; Facciolo, Gabriele; Ehret, Thibaud (2025)
  Gaussian Splatting for Efficient Satellite Image Photogrammetry. In: 2025 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), Nashville (USA), 10-17 June 2025, pp. 5959-5969. ISBN: 979-8-3315-4364-8
  Contributo in Atti di Convegno (Proceeding)
• SAVANT AIRA, Luca; Valsesia, Diego; Magli, Enrico (2025)
  Modeling Uncertainty for Gaussian Splatting. In: IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, pp. 1-7. ISSN 2162-237X
  Contributo su Rivista
• Montanaro, A.; SAVANT AIRA, Luca; Aiello, E.; Valsesia, D.; Magli, E. (2024)
  MOTIONCRAFT: Physics-based Zero-Shot Video Generation. In: 38th Conference on Neural Information Processing Systems, NeurIPS 2024, Vancouver (Can), 10 - 15 December 2024. ISSN 1049-5258
  Contributo in Atti di Convegno (Proceeding)
• Aira, Luca Savant; Valsesia, Diego; Molini, Andrea Bordone; Fracastoro, Giulia; Magli, ... (2024)
  Deep 3D World Models for Multi-Image Super-Resolution Beyond Optical Flow. In: IEEE ACCESS, vol. 12, pp. 188902-188913. ISSN 2169-3536
  Contributo su Rivista