| Score-based Generative Modeling in Latent Space A Vahdat*, K Kreis*, J Kautz Advances in Neural Information Processing Systems (NeurIPS), 2021 | 331 | 2021 |
| 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 | 287 | 2021 |
| 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 | 246 | 2023 |
| 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 | 244 | 2022 |
| Tackling the Generative Learning Trilemma with Denoising Diffusion GANs Z Xiao, K Kreis, A Vahdat International Conference on Learning Representations (ICLR), 2022 | 243 | 2022 |
| 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 | 145 | 2021 |
| 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 | 135 | 2022 |
| 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 | 128 | 2021 |
| Score-Based Generative Modeling with Critically-Damped Langevin Diffusion T Dockhorn, A Vahdat, K Kreis International Conference on Learning Representations (ICLR), 2022 | 126 | 2022 |
| 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 | 113 | 2023 |
| 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 | 85 | 2021 |
| 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 | 55 | 2021 |
| Classifying, quantifying, and witnessing qudit-qumode hybrid entanglement K Kreis, P van Loock Physical Review A 85 (3), 032307, 2012 | 51 | 2012 |
| 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 | 45 | 2015 |
| GENIE: Higher-Order Denoising Diffusion Solvers T Dockhorn, A Vahdat, K Kreis Advances in Neural Information Processing Systems (NeurIPS), 2022 | 42 | 2022 |
| 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 | 38 | 2022 |
| 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 | 36 | 2019 |
| 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 | 35 | 2014 |
| 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 | 34 | 2021 |
| Differentially Private Diffusion Models T Dockhorn, T Cao, A Vahdat, K Kreis Transactions on Machine Learning Research (TMLR), 2023 | 29 | 2023 |
Sanja FidlerUniversity of Toronto, NVIDIADirección de correo verificada de cs.toronto.edu
