Inbar Mosseri

I'm leading a research group at Google Research in Tel-Aviv, focusing on image and video creation and editing using generative models. At the heart of my work is a deep passion for the intersection of AI and visual arts, where I'm constantly pushing the boundaries to explore how these cutting-edge technologies can revolutionize both academic research and the development of new product capabilities.

Email / Google Scholar

Research & Product Highlights

Publications

I'm interested in computer vision, deep learning, generative AI, and image processing. Most of my recent research work focuses on generative models for image and video. Representative papers are highlighted.

	Lumiere: A Space-Time Diffusion Model for Video Generation Omer Bartal, Hila Chefer, Omer Tov, Charles Herrmann, Roni Paiss, Shiran Zada, Ariel Efrat, Junhwa Hur , Yuanzhen Li Tomer Michaeli, Oliver Wang, Deqing Sun, Tali Dekel, Inbar Mosseri arxiv, 2024 Project
	The Hidden Language of Diffusion Models Hila Chefer, Oran Lang, Mor Geva, Volodymyr Polosukhin, Assaf Shocher, Michal Irani, Inbar Mosseri, Lior Wolf ICLR, 2024 Paper / Project
	Imagic: Text-Based Real Image Editing with Diffusion Models Bahjat Kawar, Shiran Zada, Oran Lang, Omer Tov, Huiwen Chang, Tali Dekel, Inbar Mosseri, Michal Irani CVPR, 2023 Paper / Project
	MyStyle: A Personalized Generative Prior Yotam Nitzan, Kfir Aberman, Qiurui He, Michal Yarom, Yossi Gandelsman, Inbar Mosseri, Yael Pritch Daniel Cohen-or SIGGRAPH Asia, 2022 Paper / Project / Video
	Self-Distilled StyleGAN: Towards Generation from Internet Photos Ron Mokady, Michal Yarom, Omer Tov, Oran Lang, Daniel Cohen-or Michal Irani, Inbar Mosseri SIGGRAPH, 2022 Paper / Project
	Deep Saliency Prior for Reducing Visual Distraction Kfir Aberman, Junfeng He, Yossi Gandelsman, Inbar Mosseri, David E. Jacobs, Kai Kohlhoff, Yael Pritch Michael Rubinstein CVPR, 2022 Paper / Project
	Explaining in Style: Training a GAN to explain a classifier in StyleSpace Oran Lang, Yossi Gandelsman, Michal Yarom, Yoav Wald, Gal Elidan, Avinatan Hassidim, William T. Freeman, Phillip Isola, Amir Globerson, Michal Irani, Inbar Mosseri CVPR, 2021 Paper / Project / Blog Post
	SpeedNet: Learning the Speediness in Videos Sagie Benaim, Ariel Efrat, Oran Lang, Inbar Mosseri, William T. Freeman, Michael Rubinstein, Michal Irani, Tali Dekel CVPR, 2020 Paper / Project
	Semantic Pyramid for Image Generation Assaf Shocher, Yossi Gandelsman, Inbar Mosseri, Michal Yarom, Michal Irani, William T. Freeman, Tali Dekel CVPR, 2020 Paper / Project
	Speech2face: Learning the face behind a voice Tae-Hyun Oh, Tali Dekel, Changil Kim, Inbar Mosseri, William T. Freeman, Michael Rubinstein, Wojciech Matusik, CVPR, 2019 Paper / Project
	Looking to Listen at the Cocktail Party: A Speaker-Independent Audio-Visual Model for Speech Separation Ariel Efrat, Inbar Mosseri, Oran Lang, Tali Dekel, Kevin Wilson, Avinatan Hassidim, William T. Freeman, Michael Rubinstein SIGGRAPH, 2018 Paper / Project
	Xgan: Unsupervised image-to-image translation for many-to-many mappings Amelie Royer, Konstantinos Bousmalis, Stephan Gouws, Fred Bertsch, Inbar Mosseri, Forrester Cole, Kevin Murphy ICLR, 2018 Paper
	Synthesizing normalized faces from facial identity features Forrester Cole, David Belanger, Dilip Krishnan, Aaron Sarna Inbar Mosseri, William T. Freeman, CVPR, 2017 Paper
	Combining the Power of Internal and External Denoising Inbar Mosseri, Maria Zontak, Michal Irani ICCP, 2013 Paper
	Separating signal from noise using patch recurrence across scales Maria Zontak, Inbar Mosseri, Michal Irani CVPR, 2013 Paper / Project

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