Seung Wook Kim

According to our database, Seung Wook Kim authored at least 18 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

EmerDiff: Emerging Pixel-level Semantic Knowledge in Diffusion Models.

Koichi Namekata, Amirmojtaba Sabour, Sanja Fidler, Seung Wook Kim

CoRR, 2024

2023

Align Your Gaussians: Text-to-4D with Dynamic 3D Gaussians and Composed Diffusion Models.

Huan Ling, Seung Wook Kim, Antonio Torralba, Sanja Fidler, Karsten Kreis

CoRR, 2023

WildFusion: Learning 3D-Aware Latent Diffusion Models in View Space.

Katja Schwarz, Seung Wook Kim, Jun Gao, Sanja Fidler, Andreas Geiger, Karsten Kreis

CoRR, 2023

EmerNeRF: Emergent Spatial-Temporal Scene Decomposition via Self-Supervision.

Jiawei Yang, Boris Ivanovic, Or Litany, Xinshuo Weng, Seung Wook Kim, Boyi Li, Tong Che, Danfei Xu, Sanja Fidler, Marco Pavone, Yue Wang

CoRR, 2023

DreamTeacher: Pretraining Image Backbones with Deep Generative Models.

Daiqing Li, Huan Ling, Amlan Kar, David Acuna, Seung Wook Kim, Karsten Kreis, Antonio Torralba, Sanja Fidler

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Align Your Latents: High-Resolution Video Synthesis with Latent Diffusion Models.

Andreas Blattmann, Robin Rombach, Huan Ling, Tim Dockhorn, Seung Wook Kim, Sanja Fidler, Karsten Kreis

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

NeuralField-LDM: Scene Generation with Hierarchical Latent Diffusion Models.

Seung Wook Kim, Bradley Brown, Kangxue Yin, Karsten Kreis, Katja Schwarz, Daiqing Li, Robin Rombach, Antonio Torralba, Sanja Fidler

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.

Chetan L. Srinidhi, Seung Wook Kim, Fu-Der Chen, Anne L. Martel

Medical Image Anal., 2022

BigDatasetGAN: Synthesizing ImageNet with Pixel-wise Annotations.

Daiqing Li, Huan Ling, Seung Wook Kim, Karsten Kreis, Adela Barriuso, Sanja Fidler, Antonio Torralba

CoRR, 2022

BigDatasetGAN: Synthesizing ImageNet with Pixel-wise Annotations.

Daiqing Li, Huan Ling, Seung Wook Kim, Karsten Kreis, Sanja Fidler, Antonio Torralba

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.

Seung Wook Kim, Karsten Kreis, Daiqing Li, Antonio Torralba, Sanja Fidler

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021

EditGAN: High-Precision Semantic Image Editing.

Huan Ling, Karsten Kreis, Daiqing Li, Seung Wook Kim, Antonio Torralba, Sanja Fidler

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.

Seung Wook Kim, Jonah Philion, Antonio Torralba, Sanja Fidler

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020

Variational Amodal Object Completion.

Huan Ling, David Acuna, Karsten Kreis, Seung Wook Kim, Sanja Fidler

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.

Seung Wook Kim, Yuhao Zhou, Jonah Philion, Antonio Torralba, Sanja Fidler

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.

Atef Chaudhury, Makarand Tapaswi, Seung Wook Kim, Sanja Fidler

CoRR, 2019

Visual Reasoning by Progressive Module Networks.

Seung Wook Kim, Makarand Tapaswi, Sanja Fidler

Proceedings of the 7th International Conference on Learning Representations, 2019

2018

Progressive Reasoning by Module Composition.

Seung Wook Kim, Makarand Tapaswi, Sanja Fidler

CoRR, 2018