Publications

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

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2023

Microfacet theory for non-uniform heightfields
Eugene d'Eon, Benedikt Bitterli, Andrea Weidlich, Tizian Zeltner
Live 3D Portrait: Real-Time Radiance Fields for Single-Image Portrait View Synthesis
Alexander Trevithick, Matthew Chan, Michael Stengel, Eric R. Chan, Chao Liu, Zhiding Yu, Sameh Khamis, Manmohan Chandraker, Ravi Ramamoorthi, Koki Nagano
SSIF: Single-shot Implicit Morphable Faces With Consistent Texture Parameterization
Connor Zhizhen Lin, Koki Nagano, Jan Kautz, Eric R. Chan, Umar Iqbal, Leonidas Guibas, Gordon Wetzstein, Sameh Khamis
Micro-Mesh Construction
Andrea Maggiordomo, Henry Moreton, Marco Tarini
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
Mouse Sensitivity in First-person Targeting Tasks
Ben Boudaoud, Josef Spjut, Joohwan Kim
Quantum Goemans-Williamson Algorithm with the Hadamard Test and Approximate Amplitude Constraints
Taylor Patti, Jean Kossaifi, Anima Anandkumar, Susanne F. Yelin
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
StructDiffusion: Language-Guided Creation of Physically-Valid Structures using Unseen Objects
Weiyu Liu, Yilun Du, Tucker Hermans, Sonia Chernova, Chris Paxton
AnyTeleop: A General Vision-Based Dexterous Robot Arm-Hand Teleoperation System
Yuzhe Qin, Wei Yang, Binghao Huang, Karl Van Wyk, Hao Su, Xiaolong Wang, Yu-Wei Chao, Dieter Fox
Confidence-based Ensembles of End-to-End Speech Recognition Models
Igor Gitman, Vitaly Lavrukhin, Aleksandr Laptev, Boris Ginsburg
Affordance Diffusion: Synthesizing Hand-Object Interactions
Yufei Ye, Xueting Li, Abhinav Gupta, Shalini De Mello, Stan Birchfield, Jiaming Song, Shubham Tulsiani, Sifei Liu
TTA-COPE: Test-Time Adaptation for Category-Level Object Pose Estimation
Taeyeop Lee, Jonathan Tremblay, Valts Blukis, Bowen Wen, Byeong-Uk Lee, Inkyu Shin, Stan Birchfield, In So Kweon, Kuk-Jin Yoon
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