Publications

Our publications provide insight into some of our leading-edge research.

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2023

Boundary Value Caching for Walk on Spheres
Bailey Miller, Rohan Sawhney, Keenan Crane, Ioannis Gkioulekas
Generalizing Shallow Water Simulations with Dispersive Surface Waves
Stefan Jeschke, Chris Wojtan
Interactive Hair Simulation on the GPU Using ADMM
Gilles Daviet
Synthesizing Physical Character-Scene Interactions
Mohamed Hassan, Yunrong Guo, Tingwu Wang, Michael Black, Sanja Fidler, Xue Bin Peng
Walk on Stars: A Grid-Free Monte Carlo Method for PDEs with Neumann Boundary Conditions
Rohan Sawhney, Bailey Miller, Ioannis Gkioulekas, Keenan Crane
Data Free Learning of Reduced-Order Kinematics
Nicholas Sharp, Cristian Romero, David Levin, Alec Jacobson, Etienne Vouga, Paul Kry, Justin Solomon
Encoder-based Domain Tuning for Fast Personalization of Text-to-Image Models
Rinon Gal, Moab Arar, Yuval Atzmon, Amit H. Bermano, Gal Chechik, Daniel Cohen-Or
Key-Locked Rank One Editing for Text-to-Image Personalization
Yoad Tewel, Rinon Gal, Gal Chechik, Yuval Atzmon
Random-Access Neural Compression of Material Textures
Karthik Vaidyanathan, Marco Salvi, Bart Wronski, Tomas Akenine-Möller, Pontus Ebelin, Aaron Lefohn
SIGGRAPH 2023 Technical Papers Awards: Honorable Mention
Encoder-based Domain Tuning for Fast Personalization of Text-to-Image Models
Rinon Gal, Moab Arar, Yuval Atzmon, Amit Bermano, Gal Chechik, Daniel Cohen-Or
Guided Deep Kernel Learning
Idan Achituve, Gal Chechik, Ethan Fetaya
Bayesian Reparameterization of Reward-Conditioned Reinforcement Learning with Energy-based Models
Wenhao Ding, Gerry Che, Ding Zhao, Marco Pavone
Late Breaking Results: Test Selection For RTL Coverage By Unsupervised Learning From Fast Functional Simulation
Rongjian Liang, Nathaniel Pinckney, Yuji Chai, Haoxing (Mark) Ren, Brucek Khailany
Sequence-Based Plan Feasibility Prediction for Efficient Task and Motion Planning
Zhutian Yang, Caelan Garrett, Tomás Lozano-Pérez, Leslie Pack Kaelbling, Dieter Fox
Meta-Policy Learning over Plan Ensembles for Robust Articulated Object Manipulation
Constantinos Chamzas, Caelan Garrett, Balakumar Sundaralingam, Lydia Kavraki, Dieter Fox
Efficient Transformer Inference with Statically Structured Sparse Attention
Steve Dai, Hasan Genc, Rangharajan Venkatesan, Brucek Khailany
Physics-Informed Optical Kernel Regression Using Complex-valued Neural Fields
Guojin Chen, Zehua Pei, Haoyu Yang, Yuzhe Ma, Bei Yu, Martin Wong
Global Context Vision Transformers
Ali Hatamizadeh, Hongxu Danny Yin, Greg Heinrich, Jan Kautz, Pavlo Molchanov
Learning to Initiate and Reason in Event-Driven Cascading Processes
Yuval Atzmon, Eli Meirom, Shie Mannor, Gal Chechik
Task-Aware Risk Estimation of Perception Failures for Autonomous Vehicles
Pasquale Antonante, Sushant Veer, Karen Leung, Xinshuo Weng, Luca Carlone, Marco Pavone
Align your Latents: High-Resolution Video Synthesis with Latent Diffusion Models
Andreas Blattmann, Robin Rombach, Huan Ling, Tim Dockhorn, Seung Wook Kim, Sanja Fidler, Karsten Kreis
FreeNeRF: Improving Few-shot Neural Rendering with Free Frequency Regularization
Jiawei Yang, Marco Pavone, Yue Wang
Object Pose Estimation with Statistical Guarantees: Conformal Keypoint Detection and Geometric Uncertainty Propagation
Heng Yang, Marco Pavone
Selected as a Highlight Paper
NeuralField-LDM: Scene Generation with Hierarchical Latent Diffusion Models
Seung Wook Kim, Bradley Brown, Kangxue Yin, Karsten Kreis, Katja Schwarz, Daiqing Li, Robin Rombach, Antonio Torralba, Sanja Fidler
Learning Human-to-Robot Handovers from Point Clouds
Sammy Christen, Wei Yang, Claudia Pérez D’Arpino , Otmar Hilliges, Dieter Fox, Yu-Wei Chao
Highlight
Trace and Pace: Controllable Pedestrian Animation via Guided Trajectory Diffusion
Davis Rempe, Zhengyi Luo, Xue Bin Peng, Ye Yuan, Kris Kitani, Karsten Kreis, Sanja Fidler, Or Litany
Open-Vocabulary Panoptic Segmentation with Text-to-Image Diffusion Models
Jiarui Xu, Sifei Liu, Arash Vahdat, Wonmin Byeon, Xiaolong Wang, Shalini De Mello
Hightlight top 10%
Zero-shot Pose Transfer for Unrigged Stylized 3D Characters
Jiashun Wang, Xueting Li, Sifei Liu, Shalini De Mello, Orazio Gallo, Xiaolong Wang, Jan Kautz
Train Hard, Fight Easy: Robust Meta Reinforcement Learning
Ido Greenberg, Shie Mannor, Gal Chechik, Eli Meirom
Neuralangelo: High-Fidelity Neural Surface Reconstruction
Max Zhaoshuo Li, Thomas Müller, Alex Evans, Russell H. Taylor, Mathias Unberath, Ming-Yu Liu, Chen-Hsuan Lin
The Best Inventions of 2023, TIME Magazine
Magic3D: High-Resolution Text-to-3D Content Creation
Chen-Hsuan Lin, Jun Gao, Luming Tang, Towaki Takikawa, Xiaohui Zeng, Xun Huang, Karsten Kreis, Sanja Fidler, Ming-Yu Liu, Tsung-Yi Lin
Learning Autonomous Vehicle Safety Concepts from Demonstrations
Karen Leung, Sushant Veer, Edward Schmerling, Marco Pavone