Nataniel Ruiz
Researcher on generative model pre-training at Google DeepMind; lead author of DreamBooth
- AI researcher working on pre-training of generative models, Google DeepMind (GenMedia team)1
Nataniel Ruiz is an AI researcher working on pre-training of generative models in the GenMedia team at Google DeepMind. Ruiz worked on large-scale pretraining and new capabilities for Gemini Omni, an any-to-any multimodal model with video generation. Ruiz is the lead author of DreamBooth, a method for personalizing text-to-image diffusion models from a few images of a subject, presented by Google Research with an official dataset repository. Ruiz's other work on image and video generation includes HyperDreamBooth, StyleDrop, ZipLoRA, RealFill, Magic Insert, and ReCapture.1234
Work
DreamBooth (external site: dreambooth.github.io)Published research
First author, with Yuanzhen Li, Varun Jampani, Yael Pritch, Michael Rubinstein, and Kfir Aberman (listed with Google Research), of the 2022 DreamBooth paper; Google publishes the paper's evaluation dataset in the google/dreambooth repository.2341
Gemini Omni (external site: deepmind.google)Proprietary product
Worked on large-scale pretraining and new capabilities for Gemini Omni, an any-to-any modality multimodal model with video generation capabilities, per Ruiz's homepage.1
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