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Karsten Kreis
Karsten Kreis
Senior Research Scientist, NVIDIA
Verified email at nvidia.com - Homepage
Title
Cited by
Cited by
Year
Magic3D: High-Resolution Text-to-3D Content Creation
CH Lin*, J Gao*, L Tang*, T Takikawa*, X Zeng*, X Huang, K Kreis, ...
Computer Vision and Pattern Recognition (CVPR), 2023
4272023
Score-based Generative Modeling in Latent Space
A Vahdat*, K Kreis*, J Kautz
Advances in Neural Information Processing Systems (NeurIPS), 2021
4002021
eDiff-I: Text-to-Image Diffusion Models with an Ensemble of Expert Denoisers
Y Balaji, S Nah, X Huang, A Vahdat, J Song, K Kreis, M Aittala, T Aila, ...
arXiv preprint arXiv:2211.01324, 2022
3572022
Neural Geometric Level of Detail: Real-time Rendering with Implicit 3D Shapes
T Takikawa*, J Litalien*, K Yin, K Kreis, C Loop, D Nowrouzezahrai, ...
Computer Vision and Pattern Recognition (CVPR), 2021
3382021
Tackling the Generative Learning Trilemma with Denoising Diffusion GANs
Z Xiao, K Kreis, A Vahdat
International Conference on Learning Representations (ICLR), 2022
3172022
Align your Latents: High-Resolution Video Synthesis with Latent Diffusion Models
A Blattmann*, R Rombach*, H Ling*, T Dockhorn*, SW Kim, S Fidler, ...
Computer Vision and Pattern Recognition (CVPR), 2023
2572023
LION: Latent Point Diffusion Models for 3D Shape Generation
X Zeng, A Vahdat, F Williams, Z Gojcic, O Litany, S Fidler, K Kreis
Advances in Neural Information Processing Systems (NeurIPS), 2022
2112022
EditGAN: High-Precision Semantic Image Editing
H Ling*, K Kreis*, D Li, SW Kim, A Torralba, S Fidler
Advances in Neural Information Processing Systems (NeurIPS), 2021
1632021
Score-Based Generative Modeling with Critically-Damped Langevin Diffusion
T Dockhorn, A Vahdat, K Kreis
International Conference on Learning Representations (ICLR), 2022
1552022
Semantic Segmentation with Generative Models: Semi-Supervised Learning and Strong Out-of-Domain Generalization
D Li, J Yang, K Kreis, A Torralba, S Fidler
Computer Vision and Pattern Recognition (CVPR), 2021
1392021
VAEBM: A Symbiosis between Variational Autoencoders and Energy-based Models
Z Xiao, K Kreis, J Kautz, A Vahdat
International Conference on Learning Representations (ICLR), 2021
962021
ATISS: Autoregressive Transformers for Indoor Scene Synthesis
D Paschalidou, A Kar, M Shugrina, K Kreis, A Geiger, S Fidler
Advances in Neural Information Processing Systems (NeurIPS), 2021
652021
GENIE: Higher-Order Denoising Diffusion Solvers
T Dockhorn, A Vahdat, K Kreis
Advances in Neural Information Processing Systems (NeurIPS), 2022
572022
Classifying, quantifying, and witnessing qudit-qumode hybrid entanglement
K Kreis, P van Loock
Physical Review A 85 (3), 032307, 2012
512012
BigDatasetGAN: Synthesizing ImageNet with Pixel-wise Annotations
D Li, H Ling, SW Kim, K Kreis, A Barriuso, S Fidler, A Torralba
Computer Vision and Pattern Recognition (CVPR), 2022
492022
Advantages and challenges in coupling an ideal gas to atomistic models in adaptive resolution simulations
K Kreis, AC Fogarty, K Kremer, R Potestio
The European Physical Journal Special Topics 224 (12), 2289-2304, 2015
452015
Don’t Generate Me: Training Differentially Private Generative Models with Sinkhorn Divergence
T Cao, A Bie, A Vahdat, S Fidler, K Kreis
Advances in Neural Information Processing Systems (NeurIPS), 2021
412021
Differentially Private Diffusion Models
T Dockhorn, T Cao, A Vahdat, K Kreis
Transactions on Machine Learning Research (TMLR), 2023
382023
ESPResSo++ 2.0: Advanced methods for multiscale molecular simulation
HV Guzman, N Tretyakov, H Kobayashi, AC Fogarty, K Kreis, J Krajniak, ...
Computer Physics Communications 238, 66-76, 2019
372019
A unified framework for force-based and energy-based adaptive resolution simulations
K Kreis, D Donadio, K Kremer, R Potestio
EPL (Europhysics Letters) 108 (3), 30007, 2014
352014
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Articles 1–20