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.