Zekun Hao

Email: hz472 (at) cornell [dot] edu

About

I am a 4th-year PhD student in the Department of Computer Science at Cornell University, advised by Prof. Serge Belongie. My research interests include machine learning and its applications to computer vision and computer graphics. I am especially interested in developing unsupervised models for assisting 2D/3D content creation.

The essence of artistic creation lies in its interrelationship with reality and nature. Having algorithms that deduce them from abundantly available data, such as photos and videos, and integrate them into the creative workflow allows creators, professionals and casuals alike, to focus on the actual narration and expression and think beyond the technical skill constraints.

I am fortunate to be a recipient of the 2022-2023 NVIDIA Graduate Fellowship.

Selected Publications

GANcraft: Unsupervised 3D Neural Rendering of Minecraft Worlds
ICCV 2021 (Oral)
Zekun Hao, Arun Mallya, Serge Belongie, Ming-Yu Liu.
[Paper] [Code] [Website] [Video] [BibTex]
Learning Gradient Fields for Shape Generation
ECCV 2020 (Spotlight)
Ruojin Cai*, Guandao Yang*, Hadar Averbuch-Elor, Zekun Hao, Serge Belongie, Noah Snavely, Bharath Hariharan.
[Paper] [Code] [Website] [BibTex]
DualSDF: Semantic Shape Manipulation using a Two-Level Representation
CVPR 2020
Zekun Hao, Hadar Averbuch-Elor, Noah Snavely, Serge Belongie.
[Paper] [Code] [Website] [CVPR Daily Coverage] [Demo1] [Demo2] [BibTex]
PointFlow: 3D Point Cloud Generation with Continuous Normalizing Flows
ICCV 2019 (Oral)
Guandao Yang*, Xun Huang*, Zekun Hao, Ming-Yu Liu, Serge Belongie, Bharath Hariharan.
[Paper] [Code] [Website] [Video] [BibTex]
Controllable Video Generation with Sparse Trajectories
CVPR 2018
Zekun Hao, Xun Huang, Serge Belongie.
[Paper] [Code] [BibTex]

Teaching

Internships

Last update: 01/27/2022