Inspiring Modeling

Lecture / Panel
For NYU Community

Speaker: Daniel Cohen-Or, Tel Aviv University


An interesting question is whether a machine can assist humans in being creative and inspire a user during the creation of 3D models or a shape in general. One possible means to achieve this is through a design gallery which presents a variety of computed suggestive designs from which the user can pick the ones he likes the best. The ensuing challenge is how to come up with intriguing suggestions which inspire creativity, rather than banal suggestions which stall the design process. In my talk I will discuss about the notion of creative modeling, synthesis of inspiring examples, the analysis of a set, and show a number of recent works that step towards this end.


Daniel Cohen-Or is a professor at the School of Computer Science. He received his B.Sc. cum laude in both mathematics and computer science (1985), an M.Sc. cum laude in computer science (1986) from Ben-Gurion University, and his Ph.D. degree from the Department of Computer Science (1991) at State University of New York at Stony Brook. He received the 2005 Eurographics Outstanding Technical Contributions Award.  His research interests are in computer graphics, in particular, modeling and synthesis. His main interest right now is in shape analysis and synthesis, shape modeling and surface reconstruction.