Seung Wook Kim

Orcid: 0000-0001-8027-4025

Affiliations:
  • University of Toronto, Department of Computer Science, Canada
  • NVIDIA
  • Vector Institute, Canada


According to our database1, Seung Wook Kim authored at least 24 papers between 2018 and 2025.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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Online presence:

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Bibliography

2025
Cosmos World Foundation Model Platform for Physical AI.
CoRR, January, 2025

2024
L4GM: Large 4D Gaussian Reconstruction Model.
CoRR, 2024

RefFusion: Reference Adapted Diffusion Models for 3D Scene Inpainting.
CoRR, 2024

Diffusion Texture Painting.
Proceedings of the ACM SIGGRAPH 2024 Conference Papers, 2024

DistillNeRF: Perceiving 3D Scenes from Single-Glance Images by Distilling Neural Fields and Foundation Model Features.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

L4GM: Large 4D Gaussian Reconstruction Model.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

EmerNeRF: Emergent Spatial-Temporal Scene Decomposition via Self-Supervision.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

WildFusion: Learning 3D-Aware Latent Diffusion Models in View Space.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

EmerDiff: Emerging Pixel-level Semantic Knowledge in Diffusion Models.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

Align Your Gaussians: Text-to-4D with Dynamic 3D Gaussians and Composed Diffusion Models.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023
DreamTeacher: Pretraining Image Backbones with Deep Generative Models.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Align Your Latents: High-Resolution Video Synthesis with Latent Diffusion Models.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

NeuralField-LDM: Scene Generation with Hierarchical Latent Diffusion Models.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022
Self-supervised driven consistency training for annotation efficient histopathology image analysis.
Medical Image Anal., 2022

BigDatasetGAN: Synthesizing ImageNet with Pixel-wise Annotations.
CoRR, 2022

BigDatasetGAN: Synthesizing ImageNet with Pixel-wise Annotations.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Polymorphic-GAN: Generating Aligned Samples across Multiple Domains with Learned Morph Maps.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021
EditGAN: High-Precision Semantic Image Editing.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

DriveGAN: Towards a Controllable High-Quality Neural Simulation.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020
Variational Amodal Object Completion.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Learning to Simulate Dynamic Environments With GameGAN.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019
The Shmoop Corpus: A Dataset of Stories with Loosely Aligned Summaries.
CoRR, 2019

Visual Reasoning by Progressive Module Networks.
Proceedings of the 7th International Conference on Learning Representations, 2019

2018
Progressive Reasoning by Module Composition.
CoRR, 2018


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