Resume
Academic Achievements
- Meshtron: High-Fidelity, Artist-Like 3D Mesh Generation at Scale (Arxiv 2024)
- Implicit Neural Representations with Levels-of-Experts (NeurIPS 2022)
- GANcraft: Unsupervised 3D Neural Rendering of Minecraft Worlds (ICCV 2021 Oral)
- Learning Gradient Fields for Shape Generation (ECCV 2020 Spotlight)
- DualSDF: Semantic Shape Manipulation using a Two-Level Representation (CVPR 2020)
- PointFlow: 3D Point Cloud Generation with Continuous Normalizing Flows (ICCV 2019 Oral)
- Controllable Video Generation with Sparse Trajectories (CVPR 2018)
Research Experience
- Currently a research scientist at NVIDIA Deep Imagination Research. Interned at Adobe (2019) and NVIDIA (2020-2023) during his Ph.D.
Education
- Ph.D. in Computer Science from Cornell University, advised by Prof. Serge Belongie, supported by the 2022-2023 NVIDIA Graduate Fellowship; Bachelor's degree from Beihang University, graduated in 2017.
Background
- Research interests: Vision and graphics problems, with a focus on 3D generation.
Miscellany
- Useful Links: Google Scholar, NVIDIA Webpage, Linkedin, Github: zekunhao1995, X: zekun_hao