GIORGI, DANIELA
GIORGI, DANIELA
Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI
AI-driven specular removal for 3D asset creation
2025 Callieri, M.; Corsini, M.; Dutta, S.; Giorgi, D.; Sorrenti, M.
Inventory-constrained optimization of grid shells driven by reuse
2025 Laccone, F.; Cignoni, P.; Malomo, L.; Giorgi, D.; Favilli, A.
Optimizing free‐form grid shells with reclaimed elements under inventory constraints
2025 Favilli, A.; Laccone, F.; Cignoni, P.; Malomo, L.; Giorgi, D.
SUN: Social and hUman ceNtered XR - A Horizon Europe Project Paving the Way for the Widespread Adoption of Extended and Virtual Worlds
2025 Vairo, C.; Caracciolo, G.; Giorgi, D.; Leonardis, D.; Vadicamo, L.
Constrained shape optimization of grid shells based on deep learning
2024 Favilli, A.; Laccone, F.; Cignoni, P.; Malomo, L.; Giorgi, D.
Creating high-quality 3D assets for realistic XR solutions
2024 Callieri, M.; Giorgi, D.; Maggiordomo, A.; Palma, G.
Procedural generation of geometric patterns for thin shell fabrication
2024 Scandurra, E.; Laccone, F.; Malomo, L.; Callieri, M.; Cignoni, P.; Giorgi, D.
Single-instance, multi-target learning of 3D architectural gridshells for material reuse and circular economy
2024 Favilli, A.; Laccone, F.; Cignoni, P.; Malomo, L.; Giorgi, D.
A geometry-preserving shape optimization tool based on deep learning
2023 Favilli, A; Laccone, F; Cignoni, P; Malomo, L; Giorgi, D
Computational design of fabricable geometric patterns
2023 Scandurra, E; Laccone, F; Malomo, L; Callieri, M; Cignoni, P; Giorgi, D
Geometric deep learning for statics-aware grid shells
2023 Favilli, A; Laccone, F; Cignoni, P; Malomo, L; Giorgi, D
Social and hUman ceNtered XR
2023 Vairo C.; Callieri M.; Carrara F.; Cignoni P.; Di Benedetto M.; Gennaro C.; Giorgi D.; Palma G.; Vadicamo L.; Amato G.
Cardio-metabolic risk modeling and assessment through sensor-based measurements
2022 Giorgi, Daniela; Bastiani, Luca; Morales, MARIA AURORA; Pascali, MARIA ANTONIETTA; Colantonio, Sara; Coppini, Giuseppe
Geometric deep learning for statics-aware 3D gridshells
2022 Favilli A.; Giorgi D.; Laccone F.; Malomo L.; Cignoni P.
Statics-aware 3D gridshells: a differential approach towards shape optimization
2022 Favilli A.; Giorgi D.; Laccone F.; Malomo L.; Cignoni P.
Computational design, fabrication and evaluation of rubber protein models
2021 Alderighi, T.; Giorgi, D.; Malomo, L.; Cignoni, P.; Zoppe', M.
Method for computationally designing re-usable flexible molds for the reproduction of an object
2021 Alderighi, T.; Cignoni, P.; Malomo, L.; Giorgi, D.; Bickel, B.; Pietroni, N.
Smart Working at CNR-ISTI in the COVID-19 Era
2021 Scopigno R.; Giorgi D.
Assembly of protein complexes using 3D models printed in soft silicone
2020 Zoppè, Monica; Giorgi, Daniela; Malomo, Luigi; Cignoni, Paolo; Alderighi, Thomas
Optimizing object decomposition to reduce visual artifacts in 3D printing
2020 Filoscia, I; Alderighi, T; Giorgi, D; Malomo, L; Callieri, M; Cignoni, P
| Titolo | Data di pubblicazione | Autore(i) | File |
|---|---|---|---|
| AI-driven specular removal for 3D asset creation | 1-gen-2025 | Callieri, M.; Corsini, M.; Dutta, S.; Giorgi, D.; Sorrenti, M. | |
| Inventory-constrained optimization of grid shells driven by reuse | 1-gen-2025 | Laccone, F.; Cignoni, P.; Malomo, L.; Giorgi, D.; Favilli, A. | |
| Optimizing free‐form grid shells with reclaimed elements under inventory constraints | 1-gen-2025 | Favilli, A.; Laccone, F.; Cignoni, P.; Malomo, L.; Giorgi, D. | |
| SUN: Social and hUman ceNtered XR - A Horizon Europe Project Paving the Way for the Widespread Adoption of Extended and Virtual Worlds | 1-gen-2025 | Vairo, C.; Caracciolo, G.; Giorgi, D.; Leonardis, D.; Vadicamo, L. | |
| Constrained shape optimization of grid shells based on deep learning | 1-gen-2024 | Favilli, A.; Laccone, F.; Cignoni, P.; Malomo, L.; Giorgi, D. | |
| Creating high-quality 3D assets for realistic XR solutions | 1-gen-2024 | Callieri, M.; Giorgi, D.; Maggiordomo, A.; Palma, G. | |
| Procedural generation of geometric patterns for thin shell fabrication | 1-gen-2024 | Scandurra, E.; Laccone, F.; Malomo, L.; Callieri, M.; Cignoni, P.; Giorgi, D. | |
| Single-instance, multi-target learning of 3D architectural gridshells for material reuse and circular economy | 1-gen-2024 | Favilli, A.; Laccone, F.; Cignoni, P.; Malomo, L.; Giorgi, D. | |
| A geometry-preserving shape optimization tool based on deep learning | 1-gen-2023 | Favilli, A; Laccone, F; Cignoni, P; Malomo, L; Giorgi, D | |
| Computational design of fabricable geometric patterns | 1-gen-2023 | Scandurra, E; Laccone, F; Malomo, L; Callieri, M; Cignoni, P; Giorgi, D | |
| Geometric deep learning for statics-aware grid shells | 1-gen-2023 | Favilli, A; Laccone, F; Cignoni, P; Malomo, L; Giorgi, D | |
| Social and hUman ceNtered XR | 1-gen-2023 | Vairo C.; Callieri M.; Carrara F.; Cignoni P.; Di Benedetto M.; Gennaro C.; Giorgi D.; Palma G.; Vadicamo L.; Amato G. | |
| Cardio-metabolic risk modeling and assessment through sensor-based measurements | 1-gen-2022 | Giorgi, Daniela; Bastiani, Luca; Morales, MARIA AURORA; Pascali, MARIA ANTONIETTA; Colantonio, Sara; Coppini, Giuseppe | |
| Geometric deep learning for statics-aware 3D gridshells | 1-gen-2022 | Favilli A.; Giorgi D.; Laccone F.; Malomo L.; Cignoni P. | |
| Statics-aware 3D gridshells: a differential approach towards shape optimization | 1-gen-2022 | Favilli A.; Giorgi D.; Laccone F.; Malomo L.; Cignoni P. | |
| Computational design, fabrication and evaluation of rubber protein models | 1-gen-2021 | Alderighi, T.; Giorgi, D.; Malomo, L.; Cignoni, P.; Zoppe', M. | |
| Method for computationally designing re-usable flexible molds for the reproduction of an object | 1-gen-2021 | Alderighi, T.; Cignoni, P.; Malomo, L.; Giorgi, D.; Bickel, B.; Pietroni, N. | |
| Smart Working at CNR-ISTI in the COVID-19 Era | 1-gen-2021 | Scopigno R.; Giorgi D. | |
| Assembly of protein complexes using 3D models printed in soft silicone | 1-gen-2020 | Zoppè, Monica; Giorgi, Daniela; Malomo, Luigi; Cignoni, Paolo; Alderighi, Thomas | |
| Optimizing object decomposition to reduce visual artifacts in 3D printing | 1-gen-2020 | Filoscia, I; Alderighi, T; Giorgi, D; Malomo, L; Callieri, M; Cignoni, P |