A technology developed at the Technion enables ordinary users to create realistic video clips intuitively, without the need for massive computing resources. Called Time-to-Move (TTM), it offers unprecedented control over the movement of objects and characters in AI-generated videos using nothing more than mouse movements, eliminating the need for complex and expensive infrastructure or training on millions of videos.

Dr. Or Litany of the Henry and Marilyn Taub Faculty of Computer Science, who led the research together with faculty colleague Prof. Ron Kimmel and students Asaf Singer, Noam Rotstein and Amir Mann, presented the work at the International Conference on Learning Representations (ICLR) 2026 conference, held in Brazil last month. ICLR is one of the world’s leading conferences in deep learning and AI.

“Our development,” Litany explains, “solves one of the main limitations of AI-based video generation: the difficulty of precisely controlling the movement of objects and characters over time. TTM does not require retraining and can be integrated as a plug-in into existing video models. Unlike previous approaches, which require model-specific adaptation and substantial computing resources, this technology operates with no additional computational cost. In doing so, it helps democratize AI video creation by expanding access beyond giant companies such as Google and Meta.”