Advanced Visual and Geometric Computing for 3D Capture, Display, and Fabrication | TU Wien

The project will create a leading European-wide doctoral Collegium for research in Advanced Visual and Geometric Computing for 3D Capture, Display, and Fabrication (EVOCATION). The Collegium will train the next generation of creative, entrepreneurial and innovative experts who will be equipped with the necessary skills and competences to face current and future major challenges in scalable and high-fidelity geometry and material acquisition, extraction of structure and semantic information, processing, visualization, 3D display and 3D fabrication in professional and consumer applications. In the future, the ESRs will lead research and development of new visual and geometric computing methods in the widest variety of applications, ranging from industrial design to humanities, from medical training to urban assessment, and from creative industries to education methodologies. The EVOCATION network of public and private entities will be naturally multidisciplinary and multi-institutional and will: (a) promote, through domain-specific challenges, the culture of open science and multidisciplinary research applied to concrete problems of the real world, in strict cooperation with end users in engineering, science and humanities; (b) advance the state-of- the-art in geometry and material acquisition, geometry processing and semantic feature extraction, interactive visualization, computational fabrication, and high-bandwidth/3D display systems; (c) bridge complementary approaches for cost-effective data digitization, visualization, fabrication, and display through the integration of different methodologies in the 3D capture, processing and fabrication pipeline; (d) demonstrate the feasibility and efficiency of scalable cost-effective end-to-end techniques to virtually and physically capture and create objects with complex shape and appearance; (e) increase awareness of the benefits of advanced visual/geometric computing technology in both professional and consumer domains.

Funding

Horizon 2020 Marie Sklodowska-Curie Actions (MSCA) ITN 813170

Research Areas

Rendering
In this area, we concentrate on algorithms that synthesize images to depict 3D models or scenes, often by simulating or approximating the physics of light.
Geometry Processing
Uses concepts from applied mathematics and computer science to design efficient algorithms for the reconstruction, analysis, manipulation, simulation and transmission of complex 3D models. Example applications are collision detection, reconstruction, compression, occlusion-aware surface handling and improved sampling conditions.
Modeling
In this area, we focus on researching methods and algorithms that facilitate creation, representation, analysis and processing of 3D models.
Fabrication
The advent of consumer-grade 3D printing has recently sparked interest in fabrication-aware shape design and optimization. We use techniques from computer graphics and engineering to develop new computational tools to facilitate the design process of physical artifacts.

Publications

7 Publications found:

Image	Bib Reference	Publication Type
2022
	Joao Afonso Cardoso , Bernhard Kerbl , Lei Yang, Yury Uralsky, Michael Wimmer Training and Predicting Visual Error for Real-Time Applications Proceedings of the ACM on Computer Graphics and Interactive Techniques, 5(1):1-17, May 2022. [paper] [Paper Website]	Journal Paper with Conference Talk
	Adam Celarek, Pedro Hermosilla-Casajus , Bernhard Kerbl , Timo Ropinski, Michael Wimmer Gaussian Mixture Convolution Networks In The Tenth International Conference on Learning Representations (ICLR 2022), pages 1-23. April 2022. [paper] [Code on github]	Conference Paper
	Simon Maximilian Fraiss Construction and Visualization of Gaussian Mixture Models from Point Clouds for 3D Object Representation [Master thesis] [poster]	Master Thesis
2021
	Joao Afonso Cardoso , Nuno Goncalves, Michael Wimmer Cost Volume Refinement for Depth Prediction In Proceedings of the 25th International Conference on Pattern Recognition, pages 354-361. January 2021. [amended-paper]	Conference Paper
2020
	Dominik Hanko Higher Hand-Drawn Detail Quality using Convolutional Assistant	Bachelor Thesis
2019
	Manuel Wieser Classification of Production Ready 2D Animation using Contour and Distance Fields	Bachelor Thesis
	Adam Celarek, Wenzel Jakob, Michael Wimmer , Jaakko Lehtinen Quantifying the Error of Light Transport Algorithms Computer Graphics Forum, 38(4):111-121, July 2019. [paper_preprint] [Git repository]	Journal Paper with Conference Talk