L4GM: Large 4D Gaussian Reconstruction Model
Jiawei Ren, Kevin Xie, Ashkan Mirzaei, Hanxue Liang, Xiaohui Zeng, Karsten Kreis, Ziwei Liu, Antonio Torralba, Sanja Fidler, Seung Wook Kim, Huan Ling
[Project page]
Conference on Neural Information Processing Systems (NeurIPS) 2024

DistillNeRF: Perceiving 3D Scenes from Single-Glance Images by Distilling Neural Fields and Foundation Model Features
Letian Wang, Seung Wook Kim, Jiawei Yang, Cunjun Yu, Boris Ivanovic, Steven Waslander, Yue Wang, Sanja Fidler, Marco Pavone, Peter Karkus
[Project page]
Conference on Neural Information Processing Systems (NeurIPS) 2024

Diffusion Texture Painting
Anita Hu, Nishkrit Desai, Hassan Abu Alhaija, Seung Wook Kim, Masha Shugrina
[Project page]
SIGGRAPH 2024

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
[Project page]
(Highlight) IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2024

EmerDiff: Emerging Pixel-level Semantic Knowledge in Diffusion Models
Koichi Namekata, Amirmojtaba Sabour, Sanja Fidler, Seung Wook Kim
[Project page]
International Conference on Learning Representations (ICLR) 2024

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
[Project page]
International Conference on Learning Representations (ICLR) 2024

WildFusion: Learning 3D-Aware Latent Diffusion Models in View Space
Katja Schwarz, Seung Wook Kim, Jun Gao, Sanja Fidler, Andreas Geiger, Karsten Kreis
[Project page]
International Conference on Learning Representations (ICLR) 2024

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
[Project page]
International Conference on Computer Vision (ICCV) 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
[Project page]
IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 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
[Project page]
IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2023

PolymorphicGAN: Generating Aligned Samples Across Multiple Domains With Learned Morph Maps
Seung Wook Kim, Karsten Kreis, Daiqing Li, Antonio Torralba, Sanja Fidler
[Project page]
(Oral) IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2022

BigDatasetGAN: Synthesizing ImageNet with Pixel-wise Annotations
Daiqing Li, Huan Ling, Seung Wook Kim, Karsten Kreis, Adela Barriuso, Sanja Fidler, Antonio Torralba
[Project page]
IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2022

Self-supervised driven consistency training for annotation efficient histopathology image analysis
Chetan L. Srinidhi, Seung Wook Kim, Fu-Der Chen, Anne L. Martel
[Paper]
Medical Image Analysis 2022

EditGAN: High-Precision Semantic Image Editing
Huan Ling, Karsten Kreis, Daiqing Li, Seung Wook Kim, Antonio Torralba, Sanja Fidler
[Project page]
Conference on Neural Information Processing Systems (NeurIPS) 2021

DriveGAN: Towards a Controllable High-Quality Neural Simulation
Seung Wook Kim, Jonah Philion, Antonio Torralba, Sanja Fidler
[Project page]
(Oral) IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2021

Variational Amodal Object Completion
Huan Ling, David Acuna, Karsten Kreis, Seung Wook Kim, Sanja Fidler
[Project page]
Conference on Neural Information Processing Systems (NeurIPS) 2020

Learning to Simulate Dynamic Environments with GameGAN
Seung Wook Kim, Henry Zhou, Jonah Philion, Antonio Torralba, Sanja Fidler
[Project page]
IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2020

Visual Reasoning by Progressive Module Networks
Seung Wook Kim, Makarand Tapaswi, Sanja Fidler
[Project page]
International Conference on Learning Representations (ICLR) 2019

The Shmoop Corpus: A Dataset of Stories with Loosely Aligned Summaries
Atef Chaudhury, Makarand Tapaswi, Seung Wook Kim, Sanja Fidler
[Github]
arXiv: 1912.13082

Cascaded Pyramid Network for 3D Human Pose Estimation Challenge
Sungeun Hong, Wonjin Jung, Ilsang Woo, Seung Wook Kim
European Conference on Computer Vision (ECCV PoseTrack Workshop) 2018

Keep and Learn: Continual Learning by Constraining the Latent Space for Knowledge Preservation in Neural Networks
Hyo-Eun Kim, Seung Wook Kim, Jaehwan Lee
International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI) 2018

Transferring Knowledge to Smaller Network with Class-Distance Loss
Seung Wook Kim, Hyo-Eun Kim
International Conference on Learning Representations (ICLR Workshop Track) 2017

Combining word prediction and г-ary Huffman coding for text entry
Seung Wook Kim, Frank Rudzicz
Workshop on Speech and Language Processing for Assistive Technologies (SLPAT) 2016