Pritch, Yael

DreamBooth: Fine Tuning Text-to-Image Diffusion Models for Subject-Driven Generation

Ruiz, N., Li, Y., Jampani, V., Pritch, Y., Rubinstein, M., & Aberman, K. (2022) · arXiv

Generative Adversarial Networks and Image SynthesisMultimodal Machine Learning Applications

Cited by 2,442

DreamBooth: Fine Tuning Text-to-Image Diffusion Models for Subject-Driven Generation

Ruiz, N., Li, Y., Jampani, V., Pritch, Y., Rubinstein, M., & Aberman, K. (2023) · 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Generative Adversarial Networks and Image SynthesisMultimodal Machine Learning Applications

Cited by 2,295

Null-text Inversion for Editing Real Images using Guided Diffusion Models

Mokady, R., Hertz, A., Aberman, K., Pritch, Y., & Cohen-Or, D. (2023) · 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Generative Adversarial Networks and Image SynthesisDigital Media Forensic Detection

Cited by 747

Gemini 2.5: Pushing the Frontier with Advanced Reasoning, Multimodality, Long Context, and Next Generation Agentic Capabilities

Comanici, G., Bieber, E., Schaekermann, M., Pasupat, I., Sachdeva, N., Dhillon, I., Blistein, M., Ram, O., Zhang, D., Rosen, E., et al. (2025) · arXiv

Multimodal Machine Learning ApplicationsTopic Modeling

Cited by 69

Dreamix: Video Diffusion Models are General Video Editors

Molad, E., Horwitz, E., Valevski, D., Acha, A. R., Matias, Y., Pritch, Y., Leviathan, Y., & Hoshen, Y. (2023) · arXiv

Generative Adversarial Networks and Image SynthesisDigital Media Forensic Detection

Cited by 53

Unbounded: A Generative Infinite Game of Character Life Simulation

Li, J., Li, Y., Wadhwa, N., Pritch, Y., Jacobs, D. E., Rubinstein, M., Bansal, M., & Ruiz, N. (2024) · arXiv

Artificial Intelligence in GamesGenerative Adversarial Networks and Image Synthesis

Cited by 2