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Research Areas
AI & Machine Learning
3D Deep Learning
Computer Vision
Robotics
All Areas
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New and Featured
AI Art Gallery
Team
News
People
Collaborations
Academic
Government
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3D DL
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Research Areas
Generative AI
Associated Publications
2023
VerilogEval: Evaluating Large Language Models for Verilog Code Generation
Mingjie Liu
,
Nathaniel Pinckney
,
Brucek Khailany
,
Mark Ren
2023 IEEE/ACM International Conference on Computer-Aided Design (ICCAD)
Flexible Isosurface Extraction for Gradient-Based Mesh Optimization
Tianchang Shen,
Jacob Munkberg
,
Jon Hasselgren
, Kangxue Yin, Zian Wang, Wenzheng Chen, Zan Gojcic, Sanja Fidler, Nicholas Sharp, Jun Gao
ACM Transactions On Graphics (SIGGRAPH 2023)
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
ACM Transactions On Graphics (SIGGRAPH 2023)
AI-Mediated 3D Video Conferencing
Michael Stengel
,
Koki Nagano
,
Chao Liu
,
Matthew Chan
, Alex Trevithick,
Shalini De Mello
,
Jonghyun Kim
,
David Luebke
,
Amrita Mazumdar
, Shengze Wang, Mayoore Jaiswal
ACM SIGGRAPH Emerging Technologies
A Hybrid Generator Architecture for Controllable Face Synthesis
Dann Mensah, Nam Hee Kim,
Miika Aittala
,
Samuli Laine
,
Jaakko Lehtinen
SIGGRAPH 2023
IGB: Addressing The Gaps In Labeling, Features, Heterogeneity, and Size of Public Graph Datasets for Deep Learning Research
Arpandeep Khatua,
Vikram Sharma Mailthody
, Bhagyashree Taleka, Tengfei Ma, Xiang Song,
Wen-mei Hwu
KDD'23
Physics-Informed Optical Kernel Regression Using Complex-valued Neural Fields
Guojin Chen, Zehua Pei,
Haoyu Yang
, Yuzhe Ma, Bei Yu, Martin Wong
60th ACM/IEEE Design Automation Conference
StructDiffusion: Language-Guided Creation of Physically-Valid Structures using Unseen Objects
Weiyu Liu, Yilun Du,
Tucker Hermans
, Sonia Chernova, Chris Paxton
Robotics: Science and Systems (RSS) 2023
FreeNeRF: Improving Few-shot Neural Rendering with Free Frequency Regularization
Jiawei Yang,
Marco Pavone
,
Yue Wang
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) 2023
Open-Vocabulary Panoptic Segmentation with Text-to-Image Diffusion Models
Jiarui Xu,
Sifei Liu
,
Arash Vahdat
,
Wonmin Byeon
, Xiaolong Wang,
Shalini De Mello
IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2023
Hightlight top 10%
Planning for Multi-Object Manipulation with Graph Neural Network Relational Classifiers
Yixuan Huang, Adam Conkey,
Tucker Hermans
IEEE International Conference on Robotics and Automation (ICRA)
Guided Conditional Diffusion for Controllable Traffic Simulation
Ziyuan Zhong, Davis Rempe,
Danfei Xu
,
Yuxiao Chen
,
Sushant Veer
,
Gerry Che
, Baishakhi Ray,
Marco Pavone
IEEE International Conference on Robotics and Automation (ICRA) 2023
Expanding the Deployment Envelope of Behavior Prediction via Adaptive Meta-Learning
Boris Ivanovic
, James Harrison,
Marco Pavone
IEEE International Conference on Robotics and Automation (ICRA) 2023
BITS: Bi-level Imitation for Traffic Simulation
Danfei Xu
,
Yuxiao Chen
,
Boris Ivanovic
,
Marco Pavone
IEEE International Conference on Robotics and Automation (ICRA) 2023
ProgPrompt: Generating Situated Robot Task Plans Using Large Language Models
Ishika Singh,
Valts Blukis
,
Arsalan Mousavian
,
Ankit Goyal
,
Danfei Xu
,
Jonathan Tremblay
,
Dieter Fox
, Jesse Thomason,
Animesh Garg
The International Conference on Robotics and Automation (ICRA)
Subpixel Deblurring of Anti-Aliased Raster Clip Art
Jinfan Yang,
Nicholas Vining
, Shakiba Kheradmand, Nathan Carr, Leonid Sigal, Alla Sheffer
Computer Graphics Forum (Proc. Eurographics 2023)
CALM: Conditional Adversarial Latent Models for Directable Virtual Characters
Chen Tessler
,
Yoni Kasten
, Yunrong Guo,
Shie Mannor
,
Gal Chechik
, Xue Bin Peng
SIGGRAPH 2023
Robust and Controllable Object-Centric Learning through Energy-based Models
Ruixiang Zhang,
Gerry Che
,
Boris Ivanovic
, Renhao Wang,
Marco Pavone
, Yoshua Bengio, Liam Paull
International Conference on Learning Representations (ICLR) 2023
Frido: Feature Pyramid Diffusion for Complex Scene Image Synthesis
Wan-Cyuan Fan, Yen-Chun Chen, Dongdong Chen, Yu Cheng, Lu Yuan,
Frank Wang
AAAI 2023
BufFormer: A Generative ML Framework for Scalable Buffering
Rongjian Liang
, Siddhartha Nath, Anand Rajaram, Jiang Hu,
Mark Ren
28th Asia and South Pacific Design Automation Conference
2022
Elucidating the Design Space of Diffusion-Based Generative Models
Tero Karras
,
Miika Aittala
,
Timo Aila
,
Samuli Laine
NeurIPS 2022 (oral)
NeurIPS Outstanding Paper
CoordGAN: Self-Supervised Dense Correspondences Emerge from GANs
Jiteng Mu,
Shalini De Mello
,
Zhiding Yu
, Nuno Vasconcelos, Xiaolong Wang,
Sifei Liu
IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2022
Diffusion Models for Adversarial Purification
Weili Nie
, Brandon Guo, Yujia Huang,
Chaowei Xiao
,
Arash Vahdat
,
Anima Anandkumar
International Conference on Machine Learning (ICML), 2022
Efficient Geometry-aware 3D Generative Adversarial Networks
Eric R. Chan, Connor Z. Lin, Matthew A. Chan,
Koki Nagano
, Boxiao Pan,
Shalini De Mello
,
Orazio Gallo
, Leonidas Guibas,
Jonathan Tremblay
, Sameh Khamis,
Tero Karras
, Gordon Wetzstein
IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2022
Oral presentation
StyleGAN-NADA: CLIP-Guided Domain Adaptation of Image Generators
Rinon Gal
, Or Patashnik,
Haggai Maron
, Amir Bermano,
Gal Chechik
, Daniel Cohen-Or
SIGGRAPH 2022
Score-Based Generative Modeling with Critically-Damped Langevin Diffusion
Tim Dockhorn,
Arash Vahdat
, Karsten Kreis
International Conference on Learning Representations (ICLR), 2022 (Spotlight)
Tackling the Generative Learning Trilemma with Denoising Diffusion GANs
Zhisheng Xiao, Karsten Kreis,
Arash Vahdat
International Conference on Learning Representations (ICLR) 2022 (Spotlight)
DeePattern: Layout Pattern Generation with Transforming Convolutional Auto-Encoder
Haoyu Yang
, Shuhe Li, Wen Chen, Piyush Pathak, Frank Gennari, Ya-Chieh Lai, Bei Yu
IEEE Transactions on Semiconductor Manufacturing
Best Paper Award
2021
Alias-Free Generative Adversarial Networks
Tero Karras
,
Miika Aittala
,
Samuli Laine
, Erik Härkönen,
Janne Hellsten
, Jaakko Lehtinen,
Timo Aila
NeurIPS 2021
2020
Training Generative Adversarial Networks with Limited Data
Tero Karras
,
Miika Aittala
,
Janne Hellsten
,
Samuli Laine
,
Jaakko Lehtinen
,
Timo Aila
NeurIPS 2020
Neural FFTs for Universal Texture Image Synthesis
Morteza Mardani
, Guilin Liu, Aysegul Dundar, Shiqiu Liu, Andrew Tao, Bryan Catanzaro
NeurIPS 2020
Semi-Supervised StyleGAN for Disentanglement Learning
Weili Nie,
Tero Karras
,
Animesh Garg
, Shoubhik Debnath, Anjul Patney, Ankit B. Patel,
Anima Anandkumar
International Conference on Machine Learning (ICML) 2020
Analyzing and Improving the Image Quality of StyleGAN
Tero Karras
,
Samuli Laine
,
Miika Aittala
,
Janne Hellsten
, Jaakko Lehtinen,
Timo Aila
CVPR 2020
SymGAN: Orientation Estimation without Annotation for Symmetric Objects
Phil Ammirato,
Jonathan Tremblay
,
Ming-Yu Liu
, Alexander Berg,
Dieter Fox
WACV
2019
A Style-Based Generator Architecture for Generative Adversarial Networks
Tero Karras
,
Samuli Laine
,
Timo Aila
IEEE CVPR 2019
2018
MoCoGAN: Decomposing Motion and Content for Video Generation
Sergey Tulyakov,
Ming-Yu Liu
, Xiaodong Yang,
Jan Kautz
CVPR
High-Resolution Image Synthesis and Semantic Manipulation with Conditional GANs
Ting-Chun Wang
,
Ming-Yu Liu
, Jun-Yan Zhu, Andrew Tao,
Jan Kautz
, Bryan Catanzaro
CVPR
Progressive Growing of GANs for Improved Quality, Stability, and Variation
Tero Karras
,
Timo Aila
,
Samuli Laine
, Jaakko Lehtinen
ICLR 2018
Researchers
Anima Anandkumar
Arash Vahdat
Chaowei Xiao
Chen-Hsuan Lin
Frank Wang
Gal Chechik
Haggai Maron
Koki Nagano
Miika Aittala
Orazio Gallo
Rinon Gal
Samuli Laine
Shalini De Mello
Sifei Liu
Tero Karras
Timo Aila
Weili Nie
Yin Cui
Zekun Hao
Zhiding Yu