Cosmos-Drive-Dreams: Scalable Synthetic Driving Data Generation with World Foundation Models
Xuanchi Ren*, Yifan Lu*, Tianshi Cao*, Ruiyuan Gao*, Shengyu Huang, Amirmojtaba Sabour, Tianchang Shen, Tobias Pfaff, Jay Zhangjie Wu, Runjian Chen, Seung Wook Kim, Jun Gao, Laura Leal-Taixe, Mike Chen, Sanja Fidler, Huan Ling
Random Conditioning with Distillation for Data-Efficient Diffusion Model Compression
Dohyun Kim*, Sehwan Park*, Geonhee Han, Seung Wook Kim, Paul Hongsuck Seo
Cosmos World Foundation Model Platform for Physical AI
NVIDIA
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
DistillNeRF: Perceiving 3D Scenes from Single-Glance Images by Distilling Neural Fields
Letian Wang, Seung Wook Kim, Jiawei Yang, Cunjun Yu, Boris Ivanovic, Steven Waslander, Yue Wang, Sanja Fidler, Marco Pavone, Peter Karkus
Diffusion Texture Painting
Anita Hu, Nishkrit Desai, Hassan Abu Alhaija, Seung Wook Kim, Masha Shugrina
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
EmerDiff: Emerging Pixel-level Semantic Knowledge in Diffusion Models
Koichi Namekata, Amirmojtaba Sabour, Sanja Fidler, Seung Wook Kim
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
WildFusion: Learning 3D-Aware Latent Diffusion Models in View Space
Katja Schwarz, Seung Wook Kim, Jun Gao, Sanja Fidler, Andreas Geiger, Karsten Kreis
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
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
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
PolymorphicGAN: Generating Aligned Samples Across Multiple Domains With Learned Morph Maps
Seung Wook Kim, Karsten Kreis, Daiqing Li, Antonio Torralba, Sanja Fidler
BigDatasetGAN: Synthesizing ImageNet with Pixel-wise Annotations
Daiqing Li, Huan Ling, Seung Wook Kim, Karsten Kreis, Adela Barriuso, Sanja Fidler, Antonio Torralba
Self-supervised driven consistency training for annotation efficient histopathology image analysis
Chetan L. Srinidhi, Seung Wook Kim, Fu-Der Chen, Anne L. Martel
EditGAN: High-Precision Semantic Image Editing
Huan Ling, Karsten Kreis, Daiqing Li, Seung Wook Kim, Antonio Torralba, Sanja Fidler
NeurIPS 2021
DriveGAN: Towards a Controllable High-Quality Neural Simulation
Seung Wook Kim, Jonah Philion, Antonio Torralba, Sanja Fidler
Variational Amodal Object Completion
Huan Ling, David Acuna, Karsten Kreis, Seung Wook Kim, Sanja Fidler
Learning to Simulate Dynamic Environments with GameGAN
Seung Wook Kim, Henry Zhou, Jonah Philion, Antonio Torralba, Sanja Fidler
Visual Reasoning by Progressive Module Networks
Seung Wook Kim, Makarand Tapaswi, Sanja Fidler
The Shmoop Corpus: A Dataset of Stories with Loosely Aligned Summaries
Atef Chaudhury, Makarand Tapaswi, Seung Wook Kim, Sanja Fidler
Cascaded Pyramid Network for 3D Human Pose Estimation Challenge
Sungeun Hong, Wonjin Jung, Ilsang Woo, Seung Wook Kim
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
MICCAI 2018
Transferring Knowledge to Smaller Network with Class-Distance Loss
Seung Wook Kim, Hyo-Eun Kim
ICLR Workshop 2017
Combining word prediction and г-ary Huffman coding for text entry
Seung Wook Kim, Frank Rudzicz
SLPAT Workshop 2016