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<h1 id="colorlib-logo"><a href="index.html">Seung Wook Kim</a></h1>
<span> [email protected] </span><br/>
<span>NVIDIA</span><br/><br/>
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I am a senior research scientist at NVIDIA. I obtained my PhD at the University of Toronto, advised by <a href="http://www.cs.utoronto.ca/~fidler/">Prof. Sanja Fidler.</a> Before that, I earned my Msc and Bsc degrees from the same university.
My research interests include content creation with generative models and its applications in computer vision.
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<h2 class="colorlib-heading animate-box" style="margin-bottom: 1em;">Publications</h2>
<font>(* Equal Contribution)</font> <br>
<div>
<p>
<a href="https://arxiv.org/abs/2406.10324">
<font size="4"><strong>L4GM: Large 4D Gaussian Reconstruction Model</strong></font>
</a>
<br>
<font>Jiawei Ren, Kevin Xie, Ashkan Mirzaei, Hanxue Liang, Xiaohui Zeng, Karsten Kreis, Ziwei Liu, Antonio Torralba, Sanja Fidler, <strong>Seung Wook Kim</strong>, Huan Ling</font> <br>
<a href="https://research.nvidia.com/labs/toronto-ai/l4gm/">
<font size="2"> [Project page] </font>
</a>
<br>
<font color="#18AF1D"> Conference on Neural Information Processing Systems (NeurIPS) 2024 </font>
</p>
</div>
<div>
<p>
<a href="https://arxiv.org/abs/2406.12095">
<font size="4"><strong>DistillNeRF: Perceiving 3D Scenes from Single-Glance Images by Distilling Neural Fields and Foundation Model Features</strong></font>
</a>
<br>
<font>Letian Wang, <strong>Seung Wook Kim</strong>, Jiawei Yang, Cunjun Yu, Boris Ivanovic,
Steven Waslander, Yue Wang, Sanja Fidler, Marco Pavone, Peter Karkus</font> <br>
<a href="https://distillnerf.github.io/">
<font size="2"> [Project page] </font>
</a>
<br>
<font color="#18AF1D"> Conference on Neural Information Processing Systems (NeurIPS) 2024 </font>
</p>
</div>
<div>
<p>
<a href="https://drive.google.com/file/d/1mPy_hU5KPsxMBCkE6np1jYDTwgNVPqpU/view">
<font size="4"><strong>Diffusion Texture Painting</strong></font>
</a>
<br>
<font>Anita Hu, Nishkrit Desai, Hassan Abu Alhaija, <strong>Seung Wook Kim</strong>, Masha Shugrina</font> <br>
<a href="https://research.nvidia.com/labs/toronto-ai/DiffusionTexturePainting/">
<font size="2"> [Project page] </font>
</a>
<br>
<font color="#18AF1D"> SIGGRAPH 2024 </font>
</p>
</div>
<div>
<p>
<a href="https://arxiv.org/abs/2312.13763">
<font size="4"><strong>Align Your Gaussians: Text-to-4D with Dynamic 3D Gaussians and Composed Diffusion Models</strong></font>
</a>
<br>
<font>Huan Ling*, <strong>Seung Wook Kim</strong>*, Antonio Torralba, Sanja Fidler, Karsten Kreis</font> <br>
<a href="https://research.nvidia.com/labs/toronto-ai/AlignYourGaussians/">
<font size="2"> [Project page] </font>
</a>
<br>
<font color="red"><strong>(Highlight)</strong></font>
<font color="#18AF1D"> IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2024 </font>
</p>
</div>
<div>
<p>
<a href="https://arxiv.org/abs/2401.11739">
<font size="4"><strong>EmerDiff: Emerging Pixel-level Semantic Knowledge in Diffusion Models</strong></font>
</a>
<br>
<font>Koichi Namekata, Amirmojtaba Sabour, Sanja Fidler, <strong>Seung Wook Kim</strong></font> <br>
<a href="https://kmcode1.github.io/Projects/EmerDiff/">
<font size="2"> [Project page] </font>
</a>
<br>
<font color="#18AF1D"> International Conference on Learning Representations (ICLR) 2024 </font>
</p>
</div>
<div>
<p>
<a href="https://arxiv.org/abs/2311.02077">
<font size="4"><strong>EmerNeRF: Emergent Spatial-Temporal Scene Decomposition via Self-Supervision</strong></font>
</a>
<br>
<font>Jiawei Yang, Boris Ivanovic, Or Litany, Xinshuo Weng, <strong>Seung Wook Kim</strong>, Boyi Li, Tong Che, Danfei Xu, Sanja Fidler, Marco Pavone, Yue Wang</font> <br>
<a href="https://emernerf.github.io/">
<font size="2"> [Project page] </font>
</a>
<br>
<font color="#18AF1D"> International Conference on Learning Representations (ICLR) 2024 </font>
</p>
</div>
<div>
<p>
<a href="https://arxiv.org/abs/2311.13570">
<font size="4"><strong>WildFusion: Learning 3D-Aware Latent Diffusion Models in View Space</strong></font>
</a>
<br>
<font>Katja Schwarz, <strong>Seung Wook Kim</strong>, Jun Gao, Sanja Fidler, Andreas Geiger, Karsten Kreis</font> <br>
<a href="https://katjaschwarz.github.io/wildfusion/">
<font size="2"> [Project page] </font>
</a>
<br>
<font color="#18AF1D"> International Conference on Learning Representations (ICLR) 2024 </font>
</p>
</div>
<div>
<p>
<a href="https://arxiv.org/abs/2307.07487">
<font size="4"><strong>DreamTeacher: Pretraining Image Backbones with Deep Generative Models</strong></font>
</a>
<br>
<font>Daiqing Li*, Huan Ling*, Amlan Kar, David Acuna, <strong>Seung Wook Kim</strong>, Karsten Kreis, Antonio Torralba, Sanja Fidler</font> <br>
<a href="https://research.nvidia.com/labs/toronto-ai/DreamTeacher/">
<font size="2"> [Project page] </font>
</a>
<br>
<font color="#18AF1D"> International Conference on Computer Vision (ICCV) 2023 </font>
</p>
</div>
<div>
<p>
<a href="https://arxiv.org/abs/2304.09787">
<font size="4"><strong>NeuralField-LDM: Scene Generation with Hierarchical Latent Diffusion Models</strong></font>
</a>
<br>
<font><strong>Seung Wook Kim</strong>*, Bradley Brown*, Kangxue Yin, Karsten Kreis, Katja Schwarz, Daiqing Li, Robin Rombach, Antonio Torralba, Sanja Fidler</font> <br>
<a href="https://research.nvidia.com/labs/toronto-ai/NFLDM/">
<font size="2"> [Project page] </font>
</a>
<br>
<font color="#18AF1D"> IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2023 </font>
</p>
</div>
<div>
<p>
<a href="https://arxiv.org/abs/2304.08818">
<font size="4"><strong>Align your Latents: High-Resolution Video Synthesis with Latent Diffusion Models</strong></font>
</a>
<br>
<font>Andreas Blattmann*, Robin Rombach*, Huan Ling*, Tim Dockhorn*, <strong>Seung Wook Kim</strong>, Sanja Fidler, Karsten Kreis</font> <br>
<a href="https://research.nvidia.com/labs/toronto-ai/VideoLDM/">
<font size="2"> [Project page] </font>
</a>
<br>
<font color="#18AF1D"> IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2023 </font>
</p>
</div>
<div>
<p>
<a href="https://arxiv.org/abs/2206.02903">
<font size="4"><strong>PolymorphicGAN: Generating Aligned Samples Across Multiple Domains With Learned Morph Maps</strong></font>
</a>
<br>
<font><strong>Seung Wook Kim</strong>, Karsten Kreis, Daiqing Li, Antonio Torralba, Sanja Fidler</font> <br>
<a href="https://nv-tlabs.github.io/PMGAN/">
<font size="2"> [Project page] </font>
</a>
<br>
<font color="red"><strong>(Oral)</strong></font>
<font color="#18AF1D"> IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2022 </font>
</p>
</div>
<div>
<p>
<a href="https://arxiv.org/abs/2201.04684">
<font size="4"><strong>BigDatasetGAN: Synthesizing ImageNet with Pixel-wise Annotations</strong></font>
</a>
<br>
<font>Daiqing Li, Huan Ling, <strong>Seung Wook Kim</strong>, Karsten Kreis, Adela Barriuso, Sanja Fidler, Antonio Torralba</font> <br>
<a href="https://nv-tlabs.github.io/big-datasetgan/">
<font size="2"> [Project page] </font>
</a>
<br>
<font color="#18AF1D"> IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2022 </font>
</p>
</div>
<div>
<p>
<a href="https://arxiv.org/abs/2102.03897">
<font size="4"><strong>Self-supervised driven consistency training for annotation efficient histopathology image analysis</strong></font><br>
</a>
<font>Chetan L. Srinidhi, <strong>Seung Wook Kim</strong>, Fu-Der Chen, Anne L. Martel</font> <br>
<a href="https://arxiv.org/abs/2102.03897">
<font size="2"> [Paper] </font>
</a> <br>
<font color="#18AF1D"> Medical Image Analysis 2022 </font>
</p>
</div>
<div>
<p>
<a href="#">
<font size="4"><strong>EditGAN: High-Precision Semantic Image Editing</strong></font>
</a>
<br>
<font>Huan Ling, Karsten Kreis, Daiqing Li, <strong>Seung Wook Kim</strong>, Antonio Torralba, Sanja Fidler</font> <br>
<a href="#">
<font size="2"> [Project page] </font>
</a>
<br>
<font color="#18AF1D"> Conference on Neural Information Processing Systems (NeurIPS) 2021 </font>
</p>
</div>
<div>
<p>
<a href="https://arxiv.org/abs/2104.15060">
<font size="4"><strong>DriveGAN: Towards a Controllable High-Quality Neural Simulation</strong></font>
</a>
<br>
<font><strong>Seung Wook Kim</strong>, Jonah Philion, Antonio Torralba, Sanja Fidler</font> <br>
<a href="https://nv-tlabs.github.io/DriveGAN/">
<font size="2"> [Project page] </font>
</a>
<br>
<font color="red"><strong>(Oral)</strong></font>
<font color="#18AF1D"> IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2021 </font>
</p>
</div>
<div>
<p>
<a href="https://papers.nips.cc/paper/2020/file/bacadc62d6e67d7897cef027fa2d416c-Paper.pdf">
<font size="4"><strong>Variational Amodal Object Completion</strong></font>
</a>
<br>
<font>Huan Ling, David Acuna, Karsten Kreis, <strong>Seung Wook Kim</strong>, Sanja Fidler</font> <br>
<a href="http://www.cs.toronto.edu/~linghuan/vae_mask/">
<font size="2"> [Project page] </font>
</a>
<br/>
<font color="#18AF1D"> Conference on Neural Information Processing Systems (NeurIPS) 2020 </font>
</p>
</div>
<div>
<p>
<a href="https://arxiv.org/abs/2005.12126">
<font size="4"><strong>Learning to Simulate Dynamic Environments with GameGAN</strong></font>
</a>
<br>
<font><strong>Seung Wook Kim</strong>, Henry Zhou, Jonah Philion, Antonio Torralba, Sanja Fidler</font> <br>
<a href="https://nv-tlabs.github.io/gameGAN/">
<font size="2"> [Project page] </font>
</a>
<br>
<font color="#18AF1D"> IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2020 </font>
</p>
</div>
<div>
<p>
<a href="https://arxiv.org/abs/1806.02453">
<font size="4"><strong>Visual Reasoning by Progressive Module Networks</strong></font>
</a><br>
<font><strong>Seung Wook Kim</strong>, Makarand Tapaswi, Sanja Fidler</font> <br>
<a href="https://seung-kim.github.io/pmn_pj_page/">
<font size="2"> [Project page] </font>
</a>
<br>
<font color="#18AF1D"> International Conference on Learning Representations (ICLR) 2019 </font>
</p>
</div>
<div>
<p>
<a href="https://arxiv.org/pdf/1912.13082.pdf">
<font size="4"><strong>The Shmoop Corpus: A Dataset of Stories with Loosely Aligned Summaries</strong></font><br>
</a>
<font>Atef Chaudhury, Makarand Tapaswi, <strong>Seung Wook Kim</strong>, Sanja Fidler</font> <br>
<a href="https://github.com/achaudhury/shmoop-corpus">
<font size="2"> [Github] </font>
</a> <br>
<font color="#18AF1D"> arXiv: 1912.13082 </font>
</p>
</div>
<div>
<p>
<a>
<font size="4"><strong>Cascaded Pyramid Network for 3D Human Pose Estimation Challenge</strong></font><br>
</a>
<font> Sungeun Hong, Wonjin Jung, Ilsang Woo, <strong> Seung Wook Kim</strong></font> <br>
<font color="#18AF1D"> European Conference on Computer Vision (ECCV PoseTrack Workshop) 2018 </font>
</p>
</div>
<div>
<p>
<a href="https://arxiv.org/abs/1805.10784">
<font size="4"><strong>Keep and Learn: Continual Learning by Constraining the Latent Space for Knowledge Preservation in Neural Networks</strong></font><br>
</a>
<font>Hyo-Eun Kim, <strong>Seung Wook Kim</strong>, Jaehwan Lee</font> <br>
<font color="#18AF1D">International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI) 2018 </font>
</p>
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<p>
<a href="https://openreview.net/forum?id=ByXrfaGFe¬eId=ByXrfaGFe">
<font size="4"><strong>Transferring Knowledge to Smaller Network with Class-Distance Loss</strong></font><br>
</a>
<font><strong>Seung Wook Kim</strong>, Hyo-Eun Kim</font> <br>
<font color="#18AF1D"> International Conference on Learning Representations (ICLR Workshop Track) 2017 </font>
</p>
</div>
<div>
<p>
<a href="https://www.semanticscholar.org/paper/Combining-word-prediction-and-rary-Huffman-coding-Kim-Rudzicz/0e47ab31d627b4da33e93e2dd1210e56b2bbab01">
<font size="4"><strong>Combining word prediction and г-ary Huffman coding for text entry</strong></font><br>
</a>
<font><strong>Seung Wook Kim</strong>, Frank Rudzicz</font> <br>
<font color="#18AF1D"> Workshop on Speech and Language Processing for Assistive Technologies (SLPAT) 2016 </font>
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