|
Zhening Huang I'm currently a fourth year PhD student in Information Engineering at the University of Cambridge, working with Professor Joan Lasenby. My research focuses on 3D vision, with experience in open world understanding, 3D reconstruction and graphics for appearance modeling. Recently I started to work on video diffusion models for the vision of learning 4D dynamic world. |
|
News
|
Selected publication
|
|
SpaceTimePilot: Generative Rendering of Dynamic Scenes Across Space and Time
Zhening Huang, Hyeonho Jeong, Xuelin Chen, Yulia Gryaditskaya, Tuanfeng Y. Wang, Joan Lasenby, Chun-Hao Huang 2025 Arxiv Project Page / Paper / Video / GitHub
TLDR: SpaceTimePilot disentangles space and time in video diffusion model for controllable generative rendering. Given a single input video of a dynamic scene, SpaceTimePilot freely steers both camera viewpoint and temporal motion within the scene, enabling freely exploration across the 4D space–time domain. |
|
LiteReality: Graphics-Ready 3D Scene Reconstruction from RGB-D Scans
Zhening Huang, Xiaoyang Wu, Fangcheng Zhong, Hengshuang Zhao, Matthias Nießner, Joan Lasenby NeurIPS 2025 Project Page / Paper / Video / GitHub
TLDR: LiteReality is an automatic pipeline that converts RGB-D scans of indoor environments into graphics-ready scenes with high-quality meshes, PBR materials, and articulated objects ready for rendering and physics-based interactions. |
|
OpenIns3D: Snap and Lookup for 3D Open-vocabulary Instance Segmentation
Zhening Huang, Xiaoyang Wu, Xi Chen, Hengshuang Zhao, Lei Zhu, Joan Lasenby Project Page / Paper / Video / GitHub 
ECCV 2024 TLDR: OpenIns3D proposes a "mask-snap-lookup" scheme to achieve 2D-input-free 3D open-world scene understanding, which attains SOTA performance across datasets, even with fewer input prerequisites. |
|
Design and source code from Jon Barron's website |