Sub-Nyquist SAR via Fourier Domain Range-Doppler Processing. - Kfir Aberman; Yonina C. Eldar (IEEE Trans. Geosci. Remote. Sens., 2017)

Dip transform for 3D shape reconstruction. - Kfir Aberman; Oren Katzir; Qiang Zhou; Zegang Luo; Andrei Sharf; Chen Greif; Baoquan Chen; Daniel Cohen-Or (ACM Trans. Graph., 2017)

Neural best-buddies: sparse cross-domain correspondence. - Kfir Aberman; Jing Liao 001; Mingyi Shi; Dani Lischinski; Baoquan Chen; Daniel Cohen-Or (ACM Trans. Graph., 2018)

Deep Video-Based Performance Cloning. - Kfir Aberman; Mingyi Shi; Jing Liao 001; Dani Lischinski; Baoquan Chen; Daniel Cohen-Or (Comput. Graph. Forum, 2019)

Learning character-agnostic motion for motion retargeting in 2D. - Kfir Aberman; Rundi Wu; Dani Lischinski; Baoquan Chen; Daniel Cohen-Or (ACM Trans. Graph., 2019)

Neural Alignment for Face De-pixelization. - Maayan Shuvi; Noa Fish; Kfir Aberman; Ariel Shamir; Daniel Cohen-Or (CoRR, 2020)

Skeleton-aware networks for deep motion retargeting. - Kfir Aberman; Peizhuo Li; Dani Lischinski; Olga Sorkine-Hornung; Daniel Cohen-Or; Baoquan Chen (ACM Trans. Graph., 2020)

Unpaired motion style transfer from video to animation. - Kfir Aberman; Yijia Weng; Dani Lischinski; Daniel Cohen-Or; Baoquan Chen (ACM Trans. Graph., 2020)

Rhythm is a Dancer: Music-Driven Motion Synthesis with Global Structure. - Andreas Aristidou; Anastasios Yiannakides; Kfir Aberman; Daniel Cohen-Or; Ariel Shamir; Yiorgos Chrysanthou (CoRR, 2021)

Learning skeletal articulations with neural blend shapes. - Peizhuo Li; Kfir Aberman; Rana Hanocka; Libin Liu 002; Olga Sorkine-Hornung; Baoquan Chen (ACM Trans. Graph., 2021)

MotioNet: 3D Human Motion Reconstruction from Monocular Video with Skeleton Consistency. - Mingyi Shi; Kfir Aberman; Andreas Aristidou; Taku Komura; Dani Lischinski; Daniel Cohen-Or; Baoquan Chen (ACM Trans. Graph., 2021)

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)

Zoom-to-Inpaint: Image Inpainting with High-Frequency Details. - Soo Ye Kim; Kfir Aberman; Nori Kanazawa; Rahul Garg 002; Neal Wadhwa; Huiwen Chang; Nikhil Karnad; Munchurl Kim; Orly Liba (CVPR Workshops, 2022)

Learning A Personalized Generative Prior For Face Images. - Yotam Nitzan; Kfir Aberman; Orly Liba; Qiurui He 001; Michal Yarom; Yossi Gandelsman; Inbar Mosseri; Yael Pritch; Daniel Cohen-Or (SIGGRAPH Posters, 2022)

GANimator: neural motion synthesis from a single sequence. - Peizhuo Li; Kfir Aberman; Zihan Zhang; Rana Hanocka; Olga Sorkine-Hornung (ACM Trans. Graph., 2022)

MyStyle: A Personalized Generative Prior. - Yotam Nitzan; Kfir Aberman; Qiurui He 001; Orly Liba; Michal Yarom; Yossi Gandelsman; Inbar Mosseri; Yael Pritch; Daniel Cohen-Or (ACM Trans. Graph., 2022)

Null-text Inversion for Editing Real Images using Guided Diffusion Models. - Ron Mokady; Amir Hertz; Kfir Aberman; Yael Pritch; Daniel Cohen-Or (CVPR, 2023)

MoDi: Unconditional Motion Synthesis from Diverse Data. - Sigal Raab; Inbal Leibovitch; Peizhuo Li; Kfir Aberman; Olga Sorkine-Hornung; Daniel Cohen-Or (CVPR, 2023)

DreamBooth: Fine Tuning Text-to-Image Diffusion Models for Subject-Driven Generation. - Nataniel Ruiz; Yuanzhen Li; Varun Jampani; Yael Pritch; Michael Rubinstein; Kfir Aberman (CVPR, 2023)

Delta Denoising Score. - Amir Hertz; Kfir Aberman; Daniel Cohen-Or (ICCV, 2023)

DreamBooth3D: Subject-Driven Text-to-3D Generation. - Amit Raj; Srinivas Kaza; Ben Poole; Michael Niemeyer; Nataniel Ruiz; Ben Mildenhall; Shiran Zada; Kfir Aberman; Michael Rubinstein; Jonathan T. Barron; Yuanzhen Li; Varun Jampani (ICCV, 2023)

Prompt-to-Prompt Image Editing with Cross-Attention Control. - Amir Hertz; Ron Mokady; Jay Tenenbaum; Kfir Aberman; Yael Pritch; Daniel Cohen-Or (ICLR, 2023)

Sketch-Guided Text-to-Image Diffusion Models. - Andrey Voynov; Kfir Aberman; Daniel Cohen-Or (SIGGRAPH (Conference Paper Track), 2023)

Break-A-Scene: Extracting Multiple Concepts from a Single Image. - Omri Avrahami; Kfir Aberman; Ohad Fried; Daniel Cohen-Or; Dani Lischinski (SIGGRAPH Asia, 2023)

P+: Extended Textual Conditioning in Text-to-Image Generation. - Andrey Voynov; Qinghao Chu; Daniel Cohen-Or; Kfir Aberman (CoRR, 2023)

Personalized Restoration via Dual-Pivot Tuning. - Pradyumna Chari; Sizhuo Ma; Daniil Ostashev; Achuta Kadambi; Gurunandan Krishnan; Jian Wang 111; Kfir Aberman (CoRR, 2023)

Rhythm is a Dancer: Music-Driven Motion Synthesis With Global Structure. - Andreas Aristidou; Anastasios Yiannakidis; Kfir Aberman; Daniel Cohen-Or; Ariel Shamir; Yiorgos Chrysanthou (IEEE Trans. Vis. Comput. Graph., 2023)

3D Paintbrush: Local Stylization of 3D Shapes with Cascaded Score Distillation. - Dale Decatur; Itai Lang; Kfir Aberman; Rana Hanocka (CVPR, 2024)

Orthogonal Adaptation for Modular Customization of Diffusion Models. - Ryan Po; Guandao Yang; Kfir Aberman; Gordon Wetzstein (CVPR, 2024)

HyperDreamBooth: HyperNetworks for Fast Personalization of Text-to-Image Models. - Nataniel Ruiz; Yuanzhen Li; Varun Jampani; Wei Wei; Tingbo Hou; Yael Pritch; Neal Wadhwa; Michael Rubinstein; Kfir Aberman (CVPR, 2024)

MyVLM: Personalizing VLMs for User-Specific Queries. - Yuval Alaluf; Elad Richardson; Sergey Tulyakov; Kfir Aberman; Daniel Cohen-Or (ECCV (13), 2024)

Be Yourself: Bounded Attention for Multi-subject Text-to-Image Generation. - Omer Dahary; Or Patashnik; Kfir Aberman; Daniel Cohen-Or (ECCV (14), 2024)

Efficient Training with Denoised Neural Weights. - Yifan Gong 004; Zheng Zhan 001; Yanyu Li; Yerlan Idelbayev; Andrey Zharkov; Kfir Aberman; Sergey Tulyakov; Yanzhi Wang; Jian Ren 003 (ECCV (83), 2024)

E2GAN: Efficient Training of Efficient GANs for Image-to-Image Translation. - Yifan Gong 004; Zheng Zhan 001; Qing Jin; Yanyu Li; Yerlan Idelbayev; Xian Liu; Andrey Zharkov; Kfir Aberman; Sergey Tulyakov; Yanzhi Wang; Jian Ren 005 (ICML, 2024)

Interpreting the Weight Space of Customized Diffusion Models. - Amil Dravid; Yossi Gandelsman; Kuan-Chieh Wang; Rameen Abdal; Gordon Wetzstein; Alexei A. Efros; Kfir Aberman (NeurIPS, 2024)

TEDi: Temporally-Entangled Diffusion for Long-Term Motion Synthesis. - Zihan Zhang; Richard Liu; Rana Hanocka; Kfir Aberman (SIGGRAPH (Conference Paper Track), 2024)

MoA: Mixture-of-Attention for Subject-Context Disentanglement in Personalized Image Generation. - Kuan-Chieh Wang; Daniil Ostashev; Yuwei Fang; Sergey Tulyakov; Kfir Aberman (SIGGRAPH Asia, 2024)

E2GAN: Efficient Training of Efficient GANs for Image-to-Image Translation. - Yifan Gong 004; Zheng Zhan 001; Qing Jin; Yanyu Li; Yerlan Idelbayev; Xian Liu; Andrey Zharkov; Kfir Aberman; Sergey Tulyakov; Yanzhi Wang; Jian Ren 005 (CoRR, 2024)

AToM: Amortized Text-to-Mesh using 2D Diffusion. - Guocheng Qian; Junli Cao; Aliaksandr Siarohin; Yash Kant; Chaoyang Wang 001; Michael Vasilkovsky; Hsin-Ying Lee 001; Yuwei Fang; Ivan Skorokhodov; Peiye Zhuang; Igor Gilitschenski; Jian Ren 005; et al. (CoRR, 2024)

Efficient Training with Denoised Neural Weights. - Yifan Gong 004; Zheng Zhan 001; Yanyu Li; Yerlan Idelbayev; Andrey Zharkov; Kfir Aberman; Sergey Tulyakov; Yanzhi Wang; Jian Ren 005 (CoRR, 2024)

InstantRestore: Single-Step Personalized Face Restoration with Shared-Image Attention. - Howard Zhang; Yuval Alaluf; Sizhuo Ma; Achuta Kadambi; Jian Wang 111; Kfir Aberman (CoRR, 2024)

State of the Art on Diffusion Models for Visual Computing. - Ryan Po; Wang Yifan 001; Vladislav Golyanik; Kfir Aberman; Jonathan T. Barron; Amit Bermano; Eric R. Chan; Tali Dekel; Aleksander Holynski; Angjoo Kanazawa; C. Karen Liu; Lingjie Liu; et al. (Comput. Graph. Forum, 2024)

RealFill: Reference-Driven Generation for Authentic Image Completion. - Luming Tang; Nataniel Ruiz; Qinghao Chu; Yuanzhen Li; Aleksander Holynski; David E. Jacobs; Bharath Hariharan; Yael Pritch; Neal Wadhwa; Kfir Aberman; Michael Rubinstein (ACM Trans. Graph., 2024)

Stable Flow: Vital Layers for Training-Free Image Editing. - Omri Avrahami; Or Patashnik; Ohad Fried; Egor Nemchinov; Kfir Aberman; Dani Lischinski; Daniel Cohen-Or (CVPR, 2025)

Multi-subject Open-set Personalization in Video Generation. - Tsai-Shien Chen; Aliaksandr Siarohin; Willi Menapace; Yuwei Fang; Kwot Sin Lee; Ivan Skorokhodov; Kfir Aberman; Jun-Yan Zhu; Ming-Hsuan Yang 001; Sergey Tulyakov (CVPR, 2025)

Omni-ID: Holistic Identity Representation Designed for Generative Tasks. - Guocheng Qian; Kuan-Chieh Wang; Or Patashnik; Negin Heravi; Daniil Ostashev; Sergey Tulyakov; Daniel Cohen-Or; Kfir Aberman (CVPR, 2025)

Nested Attention: Semantic-aware Attention Values for Concept Personalization. - Or Patashnik; Rinon Gal; Daniil Ostashev; Sergey Tulyakov; Kfir Aberman; Daniel Cohen-Or (CoRR, 2025)

Object-level Visual Prompts for Compositional Image Generation. - Gaurav Parmar; Or Patashnik; Kuan-Chieh Wang; Daniil Ostashev; Srinivasa Narasimhan; Jun-Yan Zhu; Daniel Cohen-Or; Kfir Aberman (CoRR, 2025)

I Think, Therefore I Diffuse: Enabling Multimodal In-Context Reasoning in Diffusion Models. - Zhenxing Mi; Kuan-Chieh Wang; Guocheng Qian; Hanrong Ye; Runtao Liu; Sergey Tulyakov; Kfir Aberman; Dan Xu 002 (CoRR, 2025)

Dynamic Concepts Personalization from Single Videos. - Rameen Abdal; Or Patashnik; Ivan Skorokhodov; Willi Menapace; Aliaksandr Siarohin; Sergey Tulyakov; Daniel Cohen-Or; Kfir Aberman (CoRR, 2025)

Be Decisive: Noise-Induced Layouts for Multi-Subject Generation. - Omer Dahary; Yehonathan Cohen; Or Patashnik; Kfir Aberman; Daniel Cohen-Or (CoRR, 2025)

3D PixBrush: Image-Guided Local Texture Synthesis. - Dale Decatur; Itai Lang; Kfir Aberman; Rana Hanocka (CoRR, 2025)

Zero-Shot Dynamic Concept Personalization with Grid-Based LoRA. - Rameen Abdal; Or Patashnik; Ekaterina Deyneka; Hao Chen; Aliaksandr Siarohin; Sergey Tulyakov; Daniel Cohen-Or; Kfir Aberman (CoRR, 2025)