| Align your Latents: High-Resolution Video Synthesis with Latent Diffusion Models A Blattmann, R Rombach, H Ling, T Dockhorn, SW Kim, S Fidler, K Kreis CVPR2023, arXiv preprint arXiv:2304.08818, 2023 | 462 | 2023 |
| Editgan: High-precision semantic image editing H Ling, K Kreis, D Li, SW Kim, A Torralba, S Fidler Advances in Neural Information Processing Systems 34, 16331-16345, 2021 | 201 | 2021 |
| Learning to Simulate Dynamic Environments with GameGAN SW Kim, Y Zhou, J Philion, A Torralba, S Fidler CVPR 2020, arXiv: 2005.12126, 2020 | 114 | 2020 |
| Self-supervised driven consistency training for annotation efficient histopathology image analysis CL Srinidhi, SW Kim, FD Chen, AL Martel Medical image analysis 75, 102256, 2022 | 91 | 2022 |
| DriveGAN: Towards a Controllable High-Quality Neural Simulation SW Kim, J Philion, A Torralba, S Fidler CVPR 2021, arXiv preprint arXiv:2104.15060, 2021 | 81 | 2021 |
| Bigdatasetgan: Synthesizing imagenet with pixel-wise annotations D Li, H Ling, SW Kim, K Kreis, S Fidler, A Torralba Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 77 | 2022 |
| Align your gaussians: Text-to-4d with dynamic 3d gaussians and composed diffusion models H Ling, SW Kim, A Torralba, S Fidler, K Kreis Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024 | 41 | 2024 |
| NeuralField-LDM: Scene Generation with Hierarchical Latent Diffusion Models SW Kim, B Brown, K Yin, K Kreis, K Schwarz, D Li, R Rombach, ... CVPR2023, arXiv preprint arXiv:2304.09787, 2023 | 39 | 2023 |
| Keep and Learn: Continual Learning by Constraining the Latent Space for Knowledge Preservation in Neural Networks HE Kim, S Kim, J Lee MICCAI 2018, 2018 | 37 | 2018 |
| Variational amodal object completion H Ling, D Acuna, K Kreis, SW Kim, S Fidler Advances in Neural Information Processing Systems 33, 16246-16257, 2020 | 36 | 2020 |
| Transferring knowledge to smaller network with class-distance loss SW Kim, HE Kim ICLR 2017 workshop, 2017 | 33 | 2017 |
| Visual Reasoning by Progressive Module Networks SW Kim, M Tapaswi, S Fidler ICLR 2019, 2018 | 18* | 2018 |
| Emernerf: Emergent spatial-temporal scene decomposition via self-supervision J Yang, B Ivanovic, O Litany, X Weng, SW Kim, B Li, T Che, D Xu, S Fidler, ... arXiv preprint arXiv:2311.02077, 2023 | 14 | 2023 |
| The shmoop corpus: A dataset of stories with loosely aligned summaries A Chaudhury, M Tapaswi, SW Kim, S Fidler arXiv preprint arXiv:1912.13082, 2019 | 13 | 2019 |
| Toronto annotation suite A Kar, SW Kim, M Boben, J Gao, T Li, H Ling, Z Wang, S Fidler | 10 | 2021 |
| Polymorphic-gan: Generating aligned samples across multiple domains with learned morph maps SW Kim, K Kreis, D Li, A Torralba, S Fidler Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 6 | 2022 |
| DreamTeacher: Pretraining Image Backbones with Deep Generative Models D Li, H Ling, A Kar, D Acuna, SW Kim, K Kreis, A Torralba, S Fidler ICCV 2023, 2023 | 5 | 2023 |
| Wildfusion: Learning 3d-aware latent diffusion models in view space K Schwarz, SW Kim, J Gao, S Fidler, A Geiger, K Kreis arXiv preprint arXiv:2311.13570, 2023 | 3 | 2023 |
| Combining word prediction and г-ary Huffman coding for text entry SW Kim, F Rudzicz SLPAT workshop 2016, 2016 | 2 | 2016 |
| Emerdiff: Emerging pixel-level semantic knowledge in diffusion models K Namekata, A Sabour, S Fidler, SW Kim arXiv preprint arXiv:2401.11739, 2024 | 1 | 2024 |
Sanja FidlerUniversity of Toronto, NVIDIA在 cs.toronto.edu 的电子邮件经过验证
