Amir Hertz
Research scientist at Google; first author of Prompt-to-Prompt image editing with cross-attention control
Amir Hertz is a research scientist at Google, developing algorithms for intuitive image editing and creation and working on the training and distillation of fundamental vision models. Hertz received a PhD at Tel Aviv University under Daniel Cohen-Or and Raja Giryes, with doctoral work on 3D shape generation, texture synthesis, 3D modeling, and meshing. Hertz is first author of "Prompt-to-Prompt Image Editing with Cross Attention Control" and co-first author of "Null-text Inversion for Editing Real Images using Guided Diffusion Models", both presented by authors from Google Research and Tel Aviv University and released in the Apache-2.0-licensed google/prompt-to-prompt repository.123456
Work
Prompt-to-Prompt and Null-text Inversion (external site: github.com)Open-source code
First author of Prompt-to-Prompt (2022) and co-first author, with Ron Mokady, of Null-text Inversion (2022); both project pages list the authors with Google Research and Tel Aviv University, and the google/prompt-to-prompt repository, under the Apache License 2.0, implements Prompt-to-Prompt on Latent Diffusion and Stable Diffusion and includes Null-text Inversion for editing real images with Stable Diffusion.23456
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