Back
Manual authoring of 3D content is a laborious and tedious task. In this talk, I present some of 3DL's recent and on-going efforts toward building tools which provide intuitive control for editing, manipulating, and generating 3D shapes. I will discuss how recent advancements, such as joint vision-language embedding spaces can be used to stylize 3D objects, driven by natural language. Finally, I will conclude with ongoing and future work in this direction, as well as other related areas.
Rana Hanocka (University of Chicago)
Assistant Professor
Rana is an Assistant Professor of Computer Science at the University of Chicago. She is also the founder and director of the 3DL group where they work on 3D data, machine learning, and visual computing. She obtained her Ph.D. in 2021 from Tel Aviv University. Her research is focused on building artificial intelligence for 3D data, spanning the fields of computer graphics, machine learning, and computer vision to enable effective operations on unstructured 3D geometric data.