| 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 | 1073 | 2023 |
| 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 | 930 | 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 | 728 | 2022 |
| Score-based Generative Modeling in Latent Space A Vahdat*, K Kreis*, J Kautz Advances in Neural Information Processing Systems (NeurIPS), 2021 | 650 | 2021 |
| Tackling the Generative Learning Trilemma with Denoising Diffusion GANs Z Xiao, K Kreis, A Vahdat International Conference on Learning Representations (ICLR), 2022 | 581 | 2022 |
| 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 | 517 | 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 | 459* | 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 | 266 | 2021 |
| Score-Based Generative Modeling with Critically-Damped Langevin Diffusion T Dockhorn, A Vahdat, K Kreis International Conference on Learning Representations (ICLR), 2022 | 250 | 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 | 225 | 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 | 138 | 2021 |
| 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 | 133 | 2021 |
| GENIE: Higher-Order Denoising Diffusion Solvers T Dockhorn, A Vahdat, K Kreis Advances in Neural Information Processing Systems (NeurIPS), 2022 | 109 | 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 | 108 | 2022 |
| Differentially Private Diffusion Models T Dockhorn, T Cao, A Vahdat, K Kreis Transactions on Machine Learning Research (TMLR), 2023 | 101 | 2023 |
| Align your gaussians: Text-to-4d with dynamic 3d gaussians and composed diffusion models H Ling*, SW Kim*, A Torralba, S Fidler, K Kreis Computer Vision and Pattern Recognition (CVPR), 2024 | 94 | 2024 |
| Trace and Pace: Controllable Pedestrian Animation via Guided Trajectory Diffusion D Rempe*, Z Luo*, XB Peng, Y Yuan, K Kitani, K Kreis, S Fidler, O Litany Computer Vision and Pattern Recognition (CVPR), 2023 | 86 | 2023 |
| Texfusion: Synthesizing 3d textures with text-guided image diffusion models T Cao, K Kreis, S Fidler, N Sharp, K Yin International Conference on Computer Vision (ICCV), 2023 | 85 | 2023 |
| 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 | 74 | 2021 |
| NeuralField-LDM: Scene Generation with Hierarchical Latent Diffusion Models SW Kim*, B Brown*, K Yin, K Kreis, K Schwarz, D Li, R Rombach, ... Computer Vision and Pattern Recognition (CVPR), 2023 | 67 | 2023 |
Sanja FidlerUniversity of Toronto, NVIDIADirección de correo verificada de cs.toronto.edu
