Jiahui Huang

Jiahui Huang

Research Scientist

Nice to meet you.

I am currently a research scientist at NVIDIA Toronto AI Lab led by Sanja Fidler. I received my Ph.D. in 2023 from the Graphics and Geometric Computing Group at Tsinghua University, China, advised by Shi-Min Hu. I was also a visiting researcher in the Geometric Computing group at Stanford University, led by Leonidas Guibas. My primary research interest lies in the joint field of 3D computer vision and graphics, including neural reconstruction, dynamic scene perception, and SLAM.

⛵️ We are actively looking for interns to work with at NVIDIA Research. Please reach out to me if you are interested in the position.

This page was last updated in Feb 2024.

  • 3D Computer Vision
  • Computer Graphics
  • Machine Learning
  • PhD in Computer Science, 2018 - 2023

    Tsinghua University

  • BEng in Computer Science, 2014 - 2018

    Tsinghua University

Selected Publications

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XCube: Large-Scale 3D Generative Modeling using Sparse Voxel Hierarchies
ArXiv 2023
DiffFacto: Controllable Part-Based 3D Point Cloud Generation with Cross Diffusion
International Conference on Computer Vision (ICCV) 2023
Neural Kernel Surface Reconstruction
Computer Vision and Pattern Recognition (CVPR) 2023 - Highlight
A Neural Galerkin Solver for Accurate Surface Reconstruction
SIGGRAPH Asia 2022
Multiway Non-rigid Point Cloud Registration via Learned Functional Map Synchronization
T-PAMI 2022
MultiBodySync: Multi-Body Segmentation and Motion Estimation via 3D Scan Synchronization
Computer Vision and Pattern Recognition (CVPR) 2021 - Oral
DI-Fusion: Online Implicit 3D Reconstruction with Deep Priors
Computer Vision and Pattern Recognition (CVPR) 2021
WallNet: Reconstructing General Room Layouts from RGB Images
Graphical Models 2020
ClusterVO: Clustering Moving Instances and Estimating Visual Odometry for Self and Surroundings
Computer Vision and Pattern Recognition (CVPR) 2020
ClusterSLAM: A SLAM Backend for Simultaneous Rigid Body Clustering and Motion Estimation
International Conference on Computer Vision (ICCV) 2019
DeepPrimitive: Image decomposition by layered primitive detection
Computational Visual Media (CVM) 2018