Yuval Alaluf
Research Scientist at Runway; first author of ReStyle and co-author of Attend-and-Excite
Yuval Alaluf is a Research Scientist at Runway, working on video synthesis and creative applications including projects such as Runway Aleph, an in-context video model for editing, transforming, and generating video. Alaluf was previously a Research Scientist at Pika focusing on video synthesis and an intern at Snap Research. Alaluf's PhD research at Tel Aviv University, advised by Daniel Cohen-Or, explored how large-scale generative models can be controlled, edited, and personalized. Alaluf is first author of ReStyle, a StyleGAN encoder, and co-author of Attend-and-Excite, a guidance method for text-to-image diffusion models; both official repositories are MIT-licensed.134567
Work
Runway Aleph (external site: runwayml.com)Proprietary product
Alaluf's homepage names Runway Aleph among the video synthesis projects Alaluf works on at Runway; Runway describes Aleph as an in-context video model for editing, transforming, and generating video.13
ReStyle and Attend-and-Excite (external site: github.com)Open-source code
First author, with Or Patashnik and Daniel Cohen-Or, of the 2021 ReStyle paper on a StyleGAN encoder that works by iterative refinement, whose MIT-licensed code is published under Alaluf's GitHub account, and second author of "Attend-and-Excite: Attention-Based Semantic Guidance for Text-to-Image Diffusion Models" (2023), whose official MIT-licensed repository is also hosted there.45672
Other documented roles
Roles the sources document but that are not confirmed as current.
- Research Scientist, Pika1
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