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Publications
Our publications provide insight into some of our leading-edge research.
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2024
(7)
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(34)
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(11)
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(7)
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(6)
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(1)
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Artificial Intelligence and Machine Learning
(69)
Generative AI
(69)
Computer Vision
(38)
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(23)
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(5)
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(3)
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(3)
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(2)
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(10)
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(4)
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(7)
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(4)
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(14)
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(7)
69 results found
Artificial Intelligence and Machine Learning
Generative AI
Clear all
Artificial Intelligence and Machine Learning
Generative AI
2023
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
CVPR
Guided Conditional Diffusion for Controllable Traffic Simulation
Ziyuan Zhong, Davis Rempe,
Danfei Xu
,
Yuxiao Chen
,
Sushant Veer
,
Gerry Che
, Baishakhi Ray,
Marco Pavone
ICRA
Expanding the Deployment Envelope of Behavior Prediction via Adaptive Meta-Learning
Boris Ivanovic
, James Harrison,
Marco Pavone
ICRA
BITS: Bi-level Imitation for Traffic Simulation
Danfei Xu
,
Yuxiao Chen
,
Boris Ivanovic
,
Marco Pavone
ICRA
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
ICRA
Subpixel Deblurring of Anti-Aliased Raster Clip Art
Jinfan Yang,
Nicholas Vining
, Shakiba Kheradmand, Nathan Carr, Leonid Sigal, Alla Sheffer
CALM: Conditional Adversarial Latent Models for Directable Virtual Characters
Chen Tessler
,
Yoni Kasten
, Yunrong Guo,
Shie Mannor
,
Gal Chechik
, Xue Bin Peng
SIGGRAPH
Robust and Controllable Object-Centric Learning through Energy-based Models
Ruixiang Zhang,
Gerry Che
,
Boris Ivanovic
, Renhao Wang,
Marco Pavone
, Yoshua Bengio, Liam Paull
ICLR
Frido: Feature Pyramid Diffusion for Complex Scene Image Synthesis
Wan-Cyuan Fan, Yen-Chun Chen, Dongdong Chen, Yu Cheng, Lu Yuan,
Frank Wang
2022
"This is my unicorn, Fluffy": Personalizing frozen vision-language representations
Niv Cohen,
Rinon Gal
,
Eli Meirom
,
Gal Chechik
,
Yuval Atzmon
ECCV
Elucidating the Design Space of Diffusion-Based Generative Models
Tero Karras
,
Miika Aittala
,
Timo Aila
,
Samuli Laine
NeurIPS
NeurIPS Outstanding Paper
LION: Latent Point Diffusion Models for 3D Shape Generation
Xiaohui Zeng,
Arash Vahdat
, Francis Williams, Zan Gojcic, Or Litany, Sanja Fidler,
Karsten Kreis
NeurIPS
GENIE: Higher-Order Denoising Diffusion Solvers
Tim Dockhorn,
Arash Vahdat
,
Karsten Kreis
NeurIPS
Diffusion Models for Adversarial Purification
Weili Nie
, Brandon Guo, Yujia Huang,
Chaowei Xiao
,
Arash Vahdat
, Anima Anandkumar
ICML
Polymorphic-GAN: Generating Aligned Samples across Multiple Domains with Learned Morph Maps
Seung Wook Kim,
Karsten Kreis
, Daiqing Li, Antonio Torralba, Sanja Fidler
CVPR
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
Oral
BigDatasetGAN: Synthesizing ImageNet with Pixel-wise Annotations
Daiqing Li, Huan Ling, Seung Wook Kim,
Karsten Kreis
, Adela Barriuso, Sanja Fidler, Antonio Torralba
CVPR
StyleGAN-NADA: CLIP-Guided Domain Adaptation of Image Generators
Rinon Gal
, Or Patashnik,
Haggai Maron
, Amir Bermano,
Gal Chechik
, Daniel Cohen-Or
SIGGRAPH
Score-Based Generative Modeling with Critically-Damped Langevin Diffusion
Tim Dockhorn,
Arash Vahdat
,
Karsten Kreis
ICLR
Tackling the Generative Learning Trilemma with Denoising Diffusion GANs
Zhisheng Xiao,
Karsten Kreis
,
Arash Vahdat
ICLR
2021
ATISS: Autoregressive Transformers for Indoor Scene Synthesis
Despoina Paschalidou, Amlan Kar, Maria Shugrina,
Karsten Kreis
, Andreas Geiger, Sanja Fidler
NeurIPS
Alias-Free Generative Adversarial Networks
Tero Karras
,
Miika Aittala
,
Samuli Laine
, Erik Härkönen,
Janne Hellsten
, Jaakko Lehtinen,
Timo Aila
NeurIPS
EditGAN: High-Precision Semantic Image Editing
Huan Ling,
Karsten Kreis
, Daiqing Li, Seung Wook Kim, Antonio Torralba, Sanja Fidler
NeurIPS
Don’t Generate Me: Training Differentially Private Generative Models with Sinkhorn Divergence
Tianshi Cao, Alex Bie,
Arash Vahdat
, Sanja Fidler,
Karsten Kreis
NeurIPS
Score-based Generative Modeling in Latent Space
Arash Vahdat
,
Karsten Kreis
,
Jan Kautz
NeurIPS
Semantic Segmentation with Generative Models: Semi-Supervised Learning and Strong Out-of-Domain Generalization
Daiqing Li, Junlin Yang,
Karsten Kreis
, Antonio Torralba, Sanja Fidler
CVPR
VAEBM: A Symbiosis between Variational Autoencoders and Energy-based Models
Zhisheng Xiao,
Karsten Kreis
,
Jan Kautz
,
Arash Vahdat
ICLR
2020
Training Generative Adversarial Networks with Limited Data
Tero Karras
,
Miika Aittala
,
Janne Hellsten
,
Samuli Laine
,
Jaakko Lehtinen
,
Timo Aila
Variational Amodal Object Completion
Huan Ling, David Acuna,
Karsten Kreis
, Seung Wook Kim, Sanja Fidler
NeurIPS
Neural FFTs for Universal Texture Image Synthesis
Morteza Mardani
, Guilin Liu, Aysegul Dundar, Shiqiu Liu, Andrew Tao, Bryan Catanzaro
Semi-Supervised StyleGAN for Disentanglement Learning
Weili Nie,
Tero Karras
,
Animesh Garg
, Shoubhik Debnath, Anjul Patney, Ankit B. Patel, Anima Anandkumar
Analyzing and Improving the Image Quality of StyleGAN
Tero Karras
,
Samuli Laine
,
Miika Aittala
,
Janne Hellsten
, Jaakko Lehtinen,
Timo Aila
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