EE Seminar: Intuitive and Controllable AI for 3D Geometry

הרישום לסמינר יבוצע בתחילת הסמינר באמצעות סריקת הברקוד למודל (יש להיכנס לפני כן למודל,  לא באמצעות האפליקציה)

Registration to the seminar is done at the beginning of the seminar by scanning the barcode for the Moodle (Please enter ahead to the Moodle, NOT by application)

(The talk will be given in English)

Speaker:     Dr. Itai Lang

                        University of Chicago

Monday, January 19^th, 2026

13:00 - 14:00

Intuitive and Controllable AI for 3D Geometry

Abstract

3D geometry powers design, perception, and simulation across various domains, including healthcare, transportation, manufacturing, and entertainment. Yet, traditional workflows for creating and editing 3D content are largely inaccessible, requiring expert knowledge and extensive manual effort. Recent advances in deep learning have enabled the generation of 3D assets through simple interfaces, such as natural language prompts. However, these AI models provide limited control, making it hard to refine the asset iteratively, edit it locally, or regulate the modification strength. As a result, the transformative potential of AI for 3D geometry remains underrealized.

My work aims to bridge this gap by pioneering learning-based techniques that combine intuitive user interaction with controllable manipulation and synthesis of 3D geometry. I will show how simple yet expressive interfaces, such as point clicks and text descriptions, can drive core geometry processing and generation tasks, including interactive segmentation, localized texturing, adjustable surface deformation, and the creation of structured, editable 3D assets from scratch. These problems pose unique challenges due to the scarcity of high-quality and diverse 3D data. I will show how to address these challenges by designing controllable 3D representations and leveraging the vast prior knowledge encompassed in powerful pretrained AI models for images and language.

Looking ahead, I will outline my future research agenda, expanding the principles of intuitive and controllable AI to dynamic 3D content that interacts with its environment, and discuss how this direction can advance 3D technologies across healthcare, engineering, education, and beyond.

Short Bio

Itai Lang (https://itailang.github.io/) is a postdoctoral researcher at the University of Chicago, working with Professor Rana Hanocka. He received his PhD from Tel Aviv University, where he was advised by Professor Shai Avidan. His research focuses on artificial intelligence for geometry processing, spanning both generative and discriminative tasks. He is particularly interested in developing innovative solutions to make 3D content creation and manipulation intuitive and controllable.

  -סמינר זה ייחשב כסמינר שמיעה לתלמידי תואר שני ושלישי-

This Seminar Is Considered A Hearing Seminar For Msc/Phd Students-