Nataniel Ruiz

According to our database, Nataniel Ruiz authored at least 32 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of three.
• Erdős number of four.

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., July, 2024

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

CoRR, 2024

Semantic Image Inversion and Editing using Rectified Stochastic Differential Equations.

Litu Rout, Yujia Chen, Nataniel Ruiz, Constantine Caramanis, Sanjay Shakkottai, Wen-Sheng Chu

CoRR, 2024

Magic Insert: Style-Aware Drag-and-Drop.

Nataniel Ruiz, Yuanzhen Li, Neal Wadhwa, Yael Pritch, Michael Rubinstein, David E. Jacobs, Shlomi Fruchter

CoRR, 2024

RB-Modulation: Training-Free Personalization of Diffusion Models using Stochastic Optimal Control.

Litu Rout, Yujia Chen, Nataniel Ruiz, Abhishek Kumar, Constantine Caramanis, Sanjay Shakkottai, Wen-Sheng Chu

CoRR, 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

Proceedings of the Computer Vision - ECCV 2024, 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

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

ATL-BP: A Student Engagement Dataset and Model for Affect Transfer Learning for Behavior Prediction.

Nataniel Ruiz, Hao Yu, Danielle Allessio, Mona Jalal, Ajjen Joshi, Tom Murray, John J. Magee, Kevin Delgado, Vitaly Ablavsky, Stan Sclaroff, Ivon Arroyo, Beverly P. Woolf, Sarah Adel Bargal, Margrit Betke

IEEE Trans. Biom. Behav. Identity Sci., July, 2023

Platypus: Quick, Cheap, and Powerful Refinement of LLMs.

Ariel N. Lee, Cole J. Hunter, Nataniel Ruiz

CoRR, 2023

Hardwiring ViT Patch Selectivity into CNNs using Patch Mixing.

Ariel N. Lee, Sarah Adel Bargal, Janavi Kasera, Stan Sclaroff, Kate Saenko, Nataniel Ruiz

CoRR, 2023

StyleDrop: Text-to-Image Generation in Any Style.

Kihyuk Sohn, Nataniel Ruiz, Kimin Lee, Daniel Castro Chin, Irina Blok, Huiwen Chang, Jarred Barber, Lu Jiang, Glenn Entis, Yuanzhen Li, Yuan Hao, Irfan Essa, Michael Rubinstein, Dilip Krishnan

CoRR, 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 Essa, Michael Rubinstein, Yuan Hao, Glenn Entis, Irina Blok, Daniel Castro Chin

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 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

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 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

Proceedings of the IEEE/CVF International Conference on Computer Vision, 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

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Practical Disruption of Image Translation Deepfake Networks.

Nataniel Ruiz, Sarah Adel Bargal, Cihang Xie, Stan Sclaroff

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Finding Differences Between Transformers and ConvNets Using Counterfactual Simulation Testing.

Nataniel Ruiz, Sarah A. Bargal, Cihang Xie, Kate Saenko, Stan Sclaroff

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Simulated Adversarial Testing of Face Recognition Models.

Nataniel Ruiz, Adam Kortylewski, Weichao Qiu, Cihang Xie, Sarah Adel Bargal, Alan L. Yuille, Stan Sclaroff

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Human Body Measurement Estimation with Adversarial Augmentation.

Nataniel Ruiz, Miriam Bellver, Timo Bolkart, Ambuj Arora, Ming C. Lin, Javier Romero, Raja Bala

Proceedings of the International Conference on 3D Vision, 2022

2021

Examining the Human Perceptibility of Black-Box Adversarial Attacks on Face Recognition.

Benjamin Spetter-Goldstein, Nataniel Ruiz, Sarah Adel Bargal

CoRR, 2021

Leveraging Affect Transfer Learning for Behavior Prediction in an Intelligent Tutoring System.

Nataniel Ruiz, Hao Yu, Danielle Allessio, Mona Jalal, Ajjen Joshi, Thomas J. Murray, John J. Magee, Jacob Whitehill, Vitaly Ablavsky, Ivon Arroyo, Beverly P. Woolf, Stan Sclaroff, Margrit Betke

Proceedings of the 16th IEEE International Conference on Automatic Face and Gesture Recognition, 2021

MorphGAN: One-Shot Face Synthesis GAN for Detecting Recognition Bias.

Nataniel Ruiz, Barry-John Theobald, Anurag Ranjan, Ahmed Hussen Abdelaziz, Nicholas Apostoloff

Proceedings of the 32nd British Machine Vision Conference 2021, 2021

2020

Protecting Against Image Translation Deepfakes by Leaking Universal Perturbations from Black-Box Neural Networks.

Nataniel Ruiz, Sarah Adel Bargal, Stan Sclaroff

CoRR, 2020

Leveraging Affect Transfer Learning for Behavior Prediction in an Intelligent Tutoring System.

Nataniel Ruiz, Mona Jalal, Vitaly Ablavsky, Danielle Allessio, John J. Magee, Jacob Whitehill, Ivon Arroyo, Beverly P. Woolf, Stan Sclaroff, Margrit Betke

CoRR, 2020

Disrupting Deepfakes: Adversarial Attacks Against Conditional Image Translation Networks and Facial Manipulation Systems.

Nataniel Ruiz, Sarah Adel Bargal, Stan Sclaroff

Proceedings of the Computer Vision - ECCV 2020 Workshops, 2020

Detecting Attended Visual Targets in Video.

Eunji Chong, Yongxin Wang, Nataniel Ruiz, James M. Rehg

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019

Learning To Simulate.

Nataniel Ruiz, Samuel Schulter, Manmohan Chandraker

Proceedings of the 7th International Conference on Learning Representations, 2019

2018

Learning to Localize and Align Fine-Grained Actions to Sparse Instructions.

Meera Hahn, Nataniel Ruiz, Jean-Baptiste Alayrac, Ivan Laptev, James M. Rehg

CoRR, 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

Proceedings of the Computer Vision - ECCV 2018, 2018

Fine-Grained Head Pose Estimation Without Keypoints.

Nataniel Ruiz, Eunji Chong, James M. Rehg

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2018

2017

Detecting Gaze Towards Eyes in Natural Social Interactions and Its Use in Child Assessment.

Eunji Chong, Katha Chanda, Zhefan Ye, Audrey Southerland, Nataniel Ruiz, Rebecca M. Jones, Agata Rozga, James M. Rehg

Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2017

Dockerface: an easy to install and use Faster R-CNN face detector in a Docker container.

Nataniel Ruiz, James M. Rehg

CoRR, 2017