Követés
Seung Wook Kim
Seung Wook Kim
NVIDIA
E-mail megerősítve itt: cs.toronto.edu - Kezdőlap
Cím
Hivatkozott rá
Hivatkozott rá
Év
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
9442023
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
2672021
Learning to Simulate Dynamic Environments with GameGAN
SW Kim, Y Zhou, J Philion, A Torralba, S Fidler
CVPR 2020, arXiv: 2005.12126, 2020
1292020
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
1252022
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
1082022
DriveGAN: Towards a Controllable High-Quality Neural Simulation
SW Kim, J Philion, A Torralba, S Fidler
CVPR 2021, arXiv preprint arXiv:2104.15060, 2021
1072021
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
942024
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
682023
Transferring knowledge to smaller network with class-distance loss
SW Kim, HE Kim
ICLR 2017 workshop, 2017
442017
Variational amodal object completion
H Ling, D Acuna, K Kreis, SW Kim, S Fidler
Advances in Neural Information Processing Systems 33, 16246-16257, 2020
432020
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
402018
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
392023
Visual Reasoning by Progressive Module Networks
SW Kim, M Tapaswi, S Fidler
ICLR 2019, 2018
19*2018
L4GM: Large 4D Gaussian Reconstruction Model
J Ren, K Xie, A Mirzaei, H Liang, X Zeng, K Kreis, Z Liu, A Torralba, ...
arXiv preprint arXiv:2406.10324, 2024
172024
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
162023
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
152019
Emerdiff: Emerging pixel-level semantic knowledge in diffusion models
K Namekata, A Sabour, S Fidler, SW Kim
arXiv preprint arXiv:2401.11739, 2024
132024
Toronto annotation suite
A Kar, SW Kim, M Boben, J Gao, T Li, H Ling, Z Wang, S Fidler
122021
Cosmos world foundation model platform for physical ai
N Agarwal, A Ali, M Bala, Y Balaji, E Barker, T Cai, P Chattopadhyay, ...
arXiv preprint arXiv:2501.03575, 2025
92025
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
82022
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