Hello, I'm Keunhong Park

I am a researcher in 3D computer vision, generative models, and computer graphics. I was previously a research scientist at Google. I received my Ph.D from the University of Washington in 2021 where I was advised by Ali Farhadi and Steve Seitz.


Publications

ReconFusion: 3D Reconstruction with Diffusion Priors

ReconFusion: 3D Reconstruction with Diffusion Priors

arXiv, 2023

Using an multi-view image conditioned diffusion model to regularize a NeRF enabled few-view reconstruction.

CamP: Camera Preconditioning for Neural Radiance Fields

CamP: Camera Preconditioning for Neural Radiance Fields

SIGGRAPH Asia, 2023 Journal Paper

Preconditioning camera optimization during NeRF training significantly improves their ability to jointly recover the scene and camera parameters.

HyperNeRF: A Higher-Dimensional Representation for Topologically Varying Neural Radiance Fields
FiG-NeRF: Figure Ground Neural Radiance Fields for 3D Object Category Modelling

FiG-NeRF: Figure Ground Neural Radiance Fields for 3D Object Category Modelling

3DV, 2021

Given a lot of images of an object category, you can train a NeRF to render them from novel views and interpolate between different instances.

Nerfies: Deformable Neural Radiance Fields

Nerfies: Deformable Neural Radiance Fields

ICCV, 2021 Oral Presentation

Learning deformation fields with a NeRF let's you reconstruct non-rigid scenes with high fidelity.

LatentFusion: End-to-End Differentiable Reconstruction and Rendering for Unseen Object Pose Estimation

LatentFusion: End-to-End Differentiable Reconstruction and Rendering for Unseen Object Pose Estimation

CVPR, 2020

By learning to predict geometry from images, you can do zero-shot pose estimation with a single network.

PhotoShape: Photorealistic Materials for Large-Scale Shape Collections

PhotoShape: Photorealistic Materials for Large-Scale Shape Collections

SIGGRAPH Asia, 2018 Journal Cover

By pairing large collections of images, 3D models, and materials, you can create thousands of photorealistic 3D models fully automatically.