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Research Areas
AI & Machine Learning
3D Deep Learning
Computer Vision
Robotics
All Areas
Publications
AI Playground
New and Featured
AI Art Gallery
Team
News
People
Collaborations
Academic
AI Research Residency
Government
Graduate Fellowships
Research Labs
Applied Research
Autonomous Vehicles
3D DL
PAR DL
Careers
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Research Areas
Generative AI
Associated Publications
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
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
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
Diffusion Models for Adversarial Purification
Weili Nie
, Brandon Guo, Yujia Huang,
Chaowei Xiao
,
Arash Vahdat
,
Anima Anandkumar
International Conference on Machine Learning (ICML), 2022
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
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)
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
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
Frank Wang
Gal Chechik
Haggai Maron
Koki Nagano
Miika Aittala
Orazio Gallo
Samuli Laine
Shalini De Mello
Sifei Liu
Tero Karras
Timo Aila
Weili Nie
Zhiding Yu