04/12/2025

WHO: Or Patashnik, Tel Aviv University

WHEN: Thursday, December 4th 2025 at 12:00

WHERE: BUILDING 503 (Computer Science) AUDITORIUM

Title: Fine-grained Control in Visual Content Creation

Abstract:

Generative models have transformed visual content creation, enabling high-quality synthesis and editing of images and videos through natural language prompts. Yet, text alone is often too ambiguous for precise control, making it difficult to specify what to edit, where changes should occur, or how much to modify.
In this talk, I will present recent efforts to achieve fine-grained control in generative models, moving beyond text-only prompting toward richer interaction modalities. I will discuss three complementary directions: reference-based control for capturing identity and appearance from exemplars, spatial control for governing object placement and layout, and parametric control for defining interpretable variations such as edit strength. Together, these advances aim to bridge the gap between user intent and visual outcomes, making generative models more predictable, expressive, and intuitive tools for creation.

Bio: Or Patashnik is a Senior Lecturer in the School of Computer Science at Tel Aviv University. Her research lies at the intersection of computer graphics, computer vision, and machine learning, with a focus on generative models. She works on image and video generation, semantic editing, and personalization, driven by the goal of making visual content creation more controllable and expressive. Or completed her PhD in Computer Science at Tel Aviv University under the supervision of Prof. Daniel Cohen-Or. During her doctoral studies, she spent a few months at Carnegie Mellon University, collaborating with Prof. Jun-Yan Zhu and Prof. Fernando De la Torre.