Ruiz, Nataniel

22 publications

CVPRW 2025 D-Feat Occlusions: Diffusion Features for Robustness to Partial Visual Occlusions in Object Recognition Rupayan Mallick, Sibo Dong, Nataniel Ruiz, Sarah Adel Bargal

ICCV 2025 Magic Insert: Style-Aware Drag-and-Drop Nataniel Ruiz, Yuanzhen Li, Neal Wadhwa, Yael Pritch, Michael Rubinstein, David E. Jacobs, Shlomi Fruchter

NeurIPS 2025 Noise Hypernetworks: Amortizing Test-Time Compute in Diffusion Models Luca Eyring, Shyamgopal Karthik, Alexey Dosovitskiy, Nataniel Ruiz, Zeynep Akata

ICLR 2025 RB-Modulation: Training-Free Stylization Using Reference-Based Modulation Litu Rout, Yujia Chen, Nataniel Ruiz, Abhishek Kumar, Constantine Caramanis, Sanjay Shakkottai, Wen-Sheng Chu

CVPR 2025 ReCapture: Generative Video Camera Controls for User-Provided Videos Using Masked Video Fine-Tuning David Junhao Zhang, Roni Paiss, Shiran Zada, Nikhil Karnad, David E. Jacobs, Yael Pritch, Inbar Mosseri, Mike Zheng Shou, Neal Wadhwa, Nataniel Ruiz

ICLR 2025 Semantic Image Inversion and Editing Using Rectified Stochastic Differential Equations Litu Rout, Yujia Chen, Nataniel Ruiz, Constantine Caramanis, Sanjay Shakkottai, Wen-Sheng Chu

ICLR 2025 Unbounded: A Generative Infinite Game of Character Life Simulation Jialu Li, Yuanzhen Li, Neal Wadhwa, Yael Pritch, David E. Jacobs, Michael Rubinstein, Mohit Bansal, Nataniel Ruiz

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

ECCV 2024 ZipLoRA: Any Subject in Any Style by Effectively Merging LoRAs Viraj Shah, Nataniel Ruiz, Forrester Cole, Erika Lu, Svetlana Lazebnik, Yuanzhen Li, Varun Jampani

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 Barron, Yuanzhen Li, Varun Jampani

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

NeurIPSW 2023 Platypus: Quick, Cheap, and Powerful Refinement of LLMs Ariel Lee, Cole Hunter, Nataniel Ruiz

AAAI 2023 Practical Disruption of Image Translation Deepfake Networks Nataniel Ruiz, Sarah Adel Bargal, Cihang Xie, Stan Sclaroff

NeurIPS 2023 StyleDrop: Text-to-Image Synthesis of Any Style Kihyuk Sohn, Lu Jiang, Jarred Barber, Kimin Lee, Nataniel Ruiz, Dilip Krishnan, Huiwen Chang, Yuanzhen Li, Irfan A. Essa, Michael Rubinstein, Yuan Hao, Glenn Entis, Irina Blok, Daniel Castro Chin

NeurIPS 2023 Subject-Driven Text-to-Image Generation via Apprenticeship Learning Wenhu Chen, Hexiang Hu, Yandong Li, Nataniel Ruiz, Xuhui Jia, Ming-Wei Chang, William W. Cohen

NeurIPS 2022 Finding Differences Between Transformers and ConvNets Using Counterfactual Simulation Testing Nataniel Ruiz, Sarah Bargal, Cihang Xie, Kate Saenko, Stan Sclaroff

CVPR 2022 Simulated Adversarial Testing of Face Recognition Models Nataniel Ruiz, Adam Kortylewski, Weichao Qiu, Cihang Xie, Sarah Adel Bargal, Alan Yuille, Stan Sclaroff

ICMLW 2021 Examining the Human Perceptibility of Black-Box Adversarial Attacks on Face Recognition Benjamin Spetter-Goldstein, Nataniel Ruiz, Sarah Adel Bargal

ECCVW 2020 Disrupting Deepfakes: Adversarial Attacks Against Conditional Image Translation Networks and Facial Manipulation Systems Nataniel Ruiz, Sarah Adel Bargal, Stan Sclaroff

ICLR 2019 Learning to Simulate Nataniel Ruiz, Samuel Schulter, Manmohan Chandraker

ECCV 2018 Connecting Gaze, Scene, and Attention: Generalized Attention Estimation via Joint Modeling of Gaze and Scene Saliency Eunji Chong, Nataniel Ruiz, Yongxin Wang, Yun Zhang, Agata Rozga, James M. Rehg

CVPRW 2018 Fine-Grained Head Pose Estimation Without Keypoints Nataniel Ruiz, Eunji Chong, James M. Rehg