AHCI RESEARCH GROUP
Publications
Papers published in international journals,
proceedings of conferences, workshops and books.
OUR RESEARCH
Scientific Publications
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You can use the tag cloud to select only the papers dealing with specific research topics.
You can expand the Abstract, Links and BibTex record for each paper.
2025
Vachha, C.; Kang, Y.; Dive, Z.; Chidambaram, A.; Gupta, A.; Jun, E.; Hartmann, B.
Dreamcrafter: Immersive Editing of 3D Radiance Fields Through Flexible, Generative Inputs and Outputs Proceedings Article
In: Conf Hum Fact Comput Syst Proc, Association for Computing Machinery, 2025, ISBN: 979-840071394-1 (ISBN).
Abstract | Links | BibTeX | Tags: 3D modeling, 3D scenes, AI assisted creativity tool, Animation, Computer vision, Direct manipulation, Drawing (graphics), Gaussian Splatting, Gaussians, Generative AI, Graphic, Graphics, High level languages, Immersive, Interactive computer graphics, Splatting, Three dimensional computer graphics, Virtual Reality, Worldbuilding interface
@inproceedings{vachha_dreamcrafter_2025,
title = {Dreamcrafter: Immersive Editing of 3D Radiance Fields Through Flexible, Generative Inputs and Outputs},
author = {C. Vachha and Y. Kang and Z. Dive and A. Chidambaram and A. Gupta and E. Jun and B. Hartmann},
url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-105005725679&doi=10.1145%2f3706598.3714312&partnerID=40&md5=68cf2a08d3057fd9756e25d53959872b},
doi = {10.1145/3706598.3714312},
isbn = {979-840071394-1 (ISBN)},
year = {2025},
date = {2025-01-01},
booktitle = {Conf Hum Fact Comput Syst Proc},
publisher = {Association for Computing Machinery},
abstract = {Authoring 3D scenes is a central task for spatial computing applications. Competing visions for lowering existing barriers are (1) focus on immersive, direct manipulation of 3D content or (2) leverage AI techniques that capture real scenes (3D Radiance Fields such as, NeRFs, 3D Gaussian Splatting) and modify them at a higher level of abstraction, at the cost of high latency. We unify the complementary strengths of these approaches and investigate how to integrate generative AI advances into real-time, immersive 3D Radiance Field editing. We introduce Dreamcrafter, a VR-based 3D scene editing system that: (1) provides a modular architecture to integrate generative AI algorithms; (2) combines different levels of control for creating objects, including natural language and direct manipulation; and (3) introduces proxy representations that support interaction during high-latency operations. We contribute empirical findings on control preferences and discuss how generative AI interfaces beyond text input enhance creativity in scene editing and world building. © 2025 Copyright held by the owner/author(s).},
keywords = {3D modeling, 3D scenes, AI assisted creativity tool, Animation, Computer vision, Direct manipulation, Drawing (graphics), Gaussian Splatting, Gaussians, Generative AI, Graphic, Graphics, High level languages, Immersive, Interactive computer graphics, Splatting, Three dimensional computer graphics, Virtual Reality, Worldbuilding interface},
pubstate = {published},
tppubtype = {inproceedings}
}
Authoring 3D scenes is a central task for spatial computing applications. Competing visions for lowering existing barriers are (1) focus on immersive, direct manipulation of 3D content or (2) leverage AI techniques that capture real scenes (3D Radiance Fields such as, NeRFs, 3D Gaussian Splatting) and modify them at a higher level of abstraction, at the cost of high latency. We unify the complementary strengths of these approaches and investigate how to integrate generative AI advances into real-time, immersive 3D Radiance Field editing. We introduce Dreamcrafter, a VR-based 3D scene editing system that: (1) provides a modular architecture to integrate generative AI algorithms; (2) combines different levels of control for creating objects, including natural language and direct manipulation; and (3) introduces proxy representations that support interaction during high-latency operations. We contribute empirical findings on control preferences and discuss how generative AI interfaces beyond text input enhance creativity in scene editing and world building. © 2025 Copyright held by the owner/author(s).
2010
Scianna, Andrea; Ammoscato, Alessio
3D gis data model using open source software Proceedings Article
In: A, Peled (Ed.): International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives, pp. 120–125, International Society for Photogrammetry and Remote Sensing, 2010.
Abstract | Links | BibTeX | Tags: 3-dimensional modeling, 3D Modelling, Blending, Computer software, Data visualization, Database systems, Environmental database, Environmental Technology, Free and open source softwares, Geographic information systems, Geographical Information Systems, High level languages, HTTP, Internet, Internet browsers, Internet protocols, Interoperability, Maintenance, Mapping, Maps, Open source software, Open systems, Query languages, Research management, Social networking (online), Software engineering, Spatial, Technology, Three dimensional computer graphics, Three-dimensional data, Topological information, Topology, World Wide Web
@inproceedings{scianna_3d_2010,
title = {3D gis data model using open source software},
author = {Andrea Scianna and Alessio Ammoscato},
editor = {Peled A},
url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-84880227655&partnerID=40&md5=502aa042af1693c18f34b5d74c4dd2bd},
year = {2010},
date = {2010-01-01},
booktitle = {International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives},
volume = {38},
pages = {120–125},
publisher = {International Society for Photogrammetry and Remote Sensing},
abstract = {Today many kinds of applications requires data containing actual three-dimensional data; fields like urban and town planning and pollution studies need 3D data, both for visualization purpose, as well as carry out many spatial analysis. This research-Management and use of distributed 3D data by open source Web-GIS software-is part of the Italian "PRIN 2007"∗ research project, aimed to build urban and suburban 3D models, and to interact with them using open source software only. Particularly free and open source software, used for the experimentation here shown, are Blender and PostGIS; the first one has been used to build and structure three-dimensional data, the second one for data allocation. These software interact using scripts, written in Python language. Buildings have been modeled upon the GIANT3D model (Geographical Interoperable Advanced Numerical Topological 3-Dimensional Model) developed in the research "PRIN 2004", regarding "Evolved structure of numerical cartography for Gis and Web-GIS". Python scripts, activated by Blender, allow to allocate data into a spatial database implemented through PostgreSQL and PostGis, that could be a remote database somewhere on the net; all geometrical and topological information, implemented in the 3D model, are so transferred in PostGIS. These information can be retrieved by Blender using other Python scripts, so Blender fully interacts with 3D data allocated in PostGIS. These data can be also accessed by many other clients, both directly using a database client, as using other protocols (like HTTP on the internet). Next step is to build an open source viewer, or a plugin for internet browsers, that allows client to visualize, explore and inquiry 3D model, retrieving data from database.},
keywords = {3-dimensional modeling, 3D Modelling, Blending, Computer software, Data visualization, Database systems, Environmental database, Environmental Technology, Free and open source softwares, Geographic information systems, Geographical Information Systems, High level languages, HTTP, Internet, Internet browsers, Internet protocols, Interoperability, Maintenance, Mapping, Maps, Open source software, Open systems, Query languages, Research management, Social networking (online), Software engineering, Spatial, Technology, Three dimensional computer graphics, Three-dimensional data, Topological information, Topology, World Wide Web},
pubstate = {published},
tppubtype = {inproceedings}
}
Today many kinds of applications requires data containing actual three-dimensional data; fields like urban and town planning and pollution studies need 3D data, both for visualization purpose, as well as carry out many spatial analysis. This research-Management and use of distributed 3D data by open source Web-GIS software-is part of the Italian "PRIN 2007"∗ research project, aimed to build urban and suburban 3D models, and to interact with them using open source software only. Particularly free and open source software, used for the experimentation here shown, are Blender and PostGIS; the first one has been used to build and structure three-dimensional data, the second one for data allocation. These software interact using scripts, written in Python language. Buildings have been modeled upon the GIANT3D model (Geographical Interoperable Advanced Numerical Topological 3-Dimensional Model) developed in the research "PRIN 2004", regarding "Evolved structure of numerical cartography for Gis and Web-GIS". Python scripts, activated by Blender, allow to allocate data into a spatial database implemented through PostgreSQL and PostGis, that could be a remote database somewhere on the net; all geometrical and topological information, implemented in the 3D model, are so transferred in PostGIS. These information can be retrieved by Blender using other Python scripts, so Blender fully interacts with 3D data allocated in PostGIS. These data can be also accessed by many other clients, both directly using a database client, as using other protocols (like HTTP on the internet). Next step is to build an open source viewer, or a plugin for internet browsers, that allows client to visualize, explore and inquiry 3D model, retrieving data from database.