Seung Wook Kim

Affiliations

University of Toronto, NVIDIA

papers

2,563

total citations

papers (13)

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

CVPR 2023arXiv

1,475

citations

EditGAN: High-Precision Semantic Image Editing

NEURIPS 2021arXiv

233

citations

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

CVPR 2024arXiv

174

citations

Polymorphic-GAN: Generating Aligned Samples Across Multiple Domains With Learned Morph Maps

CVPR 2022arXiv

citations

Random Conditioning with Distillation for Data-Efficient Diffusion Model Compression

CVPR 2025arXiv

citations

Variational Amodal Object Completion

NEURIPS 2020

citations

Seung Wook Kim

Affiliations

papers (13)

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

EditGAN: High-Precision Semantic Image Editing

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

Let 2D Diffusion Model Know 3D-Consistency for Robust Text-to-3D Generation

DriveGAN: Towards a Controllable High-Quality Neural Simulation

BigDatasetGAN: Synthesizing ImageNet With Pixel-Wise Annotations

Learning to Simulate Dynamic Environments With GameGAN

NeuralField-LDM: Scene Generation With Hierarchical Latent Diffusion Models

DreamTeacher: Pretraining Image Backbones with Deep Generative Models

Diffusion Model for Dense Matching

Polymorphic-GAN: Generating Aligned Samples Across Multiple Domains With Learned Morph Maps

Random Conditioning with Distillation for Data-Efficient Diffusion Model Compression

Variational Amodal Object Completion

papers (13)

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

EditGAN: High-Precision Semantic Image Editing

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

Let 2D Diffusion Model Know 3D-Consistency for Robust Text-to-3D Generation

DriveGAN: Towards a Controllable High-Quality Neural Simulation

BigDatasetGAN: Synthesizing ImageNet With Pixel-Wise Annotations

Learning to Simulate Dynamic Environments With GameGAN

NeuralField-LDM: Scene Generation With Hierarchical Latent Diffusion Models

DreamTeacher: Pretraining Image Backbones with Deep Generative Models

Diffusion Model for Dense Matching

Polymorphic-GAN: Generating Aligned Samples Across Multiple Domains With Learned Morph Maps

Random Conditioning with Distillation for Data-Efficient Diffusion Model Compression

Variational Amodal Object Completion