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Kfir Aberman

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AToM: Amortized Text-to-Mesh using 2D Diffusion

Feb 01, 2024
Guocheng Qian, Junli Cao, Aliaksandr Siarohin, Yash Kant, Chaoyang Wang, Michael Vasilkovsky, Hsin-Ying Lee, Yuwei Fang, Ivan Skorokhodov, Peiye Zhuang, Igor Gilitschenski, Jian Ren, Bernard Ghanem, Kfir Aberman, Sergey Tulyakov

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E$^{2}$GAN: Efficient Training of Efficient GANs for Image-to-Image Translation

Jan 11, 2024
Yifan Gong, Zheng Zhan, Qing Jin, Yanyu Li, Yerlan Idelbayev, Xian Liu, Andrey Zharkov, Kfir Aberman, Sergey Tulyakov, Yanzhi Wang, Jian Ren

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Personalized Restoration via Dual-Pivot Tuning

Dec 28, 2023
Pradyumna Chari, Sizhuo Ma, Daniil Ostashev, Achuta Kadambi, Gurunandan Krishnan, Jian Wang, Kfir Aberman

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Orthogonal Adaptation for Modular Customization of Diffusion Models

Dec 05, 2023
Ryan Po, Guandao Yang, Kfir Aberman, Gordon Wetzstein

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3D Paintbrush: Local Stylization of 3D Shapes with Cascaded Score Distillation

Nov 16, 2023
Dale Decatur, Itai Lang, Kfir Aberman, Rana Hanocka

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State of the Art on Diffusion Models for Visual Computing

Oct 11, 2023
Ryan Po, Wang Yifan, Vladislav Golyanik, Kfir Aberman, Jonathan T. Barron, Amit H. Bermano, Eric Ryan Chan, Tali Dekel, Aleksander Holynski, Angjoo Kanazawa, C. Karen Liu, Lingjie Liu, Ben Mildenhall, Matthias Nießner, Björn Ommer, Christian Theobalt, Peter Wonka, Gordon Wetzstein

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RealFill: Reference-Driven Generation for Authentic Image Completion

Sep 28, 2023
Luming Tang, Nataniel Ruiz, Qinghao Chu, Yuanzhen Li, Aleksander Holynski, David E. Jacobs, Bharath Hariharan, Yael Pritch, Neal Wadhwa, Kfir Aberman, Michael Rubinstein

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TEDi: Temporally-Entangled Diffusion for Long-Term Motion Synthesis

Jul 29, 2023
Zihan Zhang, Richard Liu, Kfir Aberman, Rana Hanocka

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HyperDreamBooth: HyperNetworks for Fast Personalization of Text-to-Image Models

Jul 13, 2023
Nataniel Ruiz, Yuanzhen Li, Varun Jampani, Wei Wei, Tingbo Hou, Yael Pritch, Neal Wadhwa, Michael Rubinstein, Kfir Aberman

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Break-A-Scene: Extracting Multiple Concepts from a Single Image

May 25, 2023
Omri Avrahami, Kfir Aberman, Ohad Fried, Daniel Cohen-Or, Dani Lischinski

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