Ruijie Zhu 朱睿杰

Biography

I am a first-year Ph.D. student supervised by Prof. Chuanxia Zheng at Physical Vision Group, College of Computing and Data Science (CCDS), Nanyang Technological University (NTU), Singapore. Before that, I was fortunate to intern at Tencent ARC Lab and Shanghai AI Lab, working with Dr. Wenbo Hu, Prof. Jianfei Cai, Prof. Xiaoguang Han, Prof. Bo Dai, Dr. Linning Xu, and Dr. Mulin Yu.

I obtained my Master’s degree from the University of Science and Technology of China (USTC) in 2025, where I was advised by Prof. Yongdong Zhang and Prof. Tianzhu Zhang. Prior to that, I received my B.Eng. degree in Computer Science and Technology from Northwestern Polytechnical University (NWPU) in 2022, under the guidance of Prof. Yuchao Dai.

My research interests lie in 3D Computer Vision, with a particular focus on:

3D/4D World Model
3D Gaussian Splatting & Neural Rendering
Monocular Depth Estimation

Experiences

Jan 2026 - Present: Ph.D. Student, NTU
May 2025 - Dec. 2025: Research Intern, Tencent ARC Lab
Aug. 2024 - Mar. 2025: Research Intern, Shanghai AI Lab
Sept. 2022 - Jun. 2025: M.S. Student, USTC
Sept. 2018 - July 2022: Undergraduate Student, Honors College, NWPU

Publications

* denotes equal contribution. Full list available on Google Scholar.

3D Gaussian Splatting & Neural Rendering

	SkeletonGaussian: Editable 4D Generation through Gaussian Skeletonization Lifan Wu, Ruijie Zhu, Yubo Ai, Tianzhu Zhang CVM 2026 [Paper] [Project Page] [Code]
	MeshSplat: Generalizable Sparse-View Surface Reconstruction via Gaussian Splatting Hanzhi Chang, Ruijie Zhu, Wenjie Chang, Mulin Yu, Yanzhe Liang, Jiahao Lu, Zhuoyuan Li, Tianzhu Zhang AAAI 2026 [Paper] [Project Page] [Code]
	ObjectGS: Object-aware Scene Reconstruction and Scene Understanding via Gaussian Splatting Ruijie Zhu, Mulin Yu, Linning Xu, Lihan Jiang, Yixuan Li, Tianzhu Zhang, Jiangmiao Pang, Bo Dai ICCV 2025 [Paper] [Project Page] [Code]
	MotionGS: Exploring Explicit Motion Guidance for Deformable 3D Gaussian Splatting Ruijie Zhu, Yanzhe Liang, Hanzhi Chang, Jiacheng Deng, Jiahao Lu, Wenfei Yang, Tianzhu Zhang, Yongdong Zhang NeurIPS 2024 [Paper] [Project Page] [Code] [Video]
	DN-4DGS: Denoised Deformable Network with Temporal-Spatial Aggregation for Dynamic Scene Rendering Jiahao Lu, Jiacheng Deng, Ruijie Zhu, Yanzhe Liang, Wenfei Yang, Tianzhu Zhang, Xu Zhou NeurIPS 2024 [Paper] [Code]
	TIFace: Improving Facial Reconstruction through Tensorial Radiance Fields and Implicit Surfaces Ruijie Zhu, Jiahao Chang, Ziyang Song, Jiahuan Yu, Tianzhu Zhang ICCVW 2023 (1st Place in VSCHH Challenge) [Paper] [Video] [Code]

Monocular Depth Estimation

	DepthMaster: Taming Diffusion Models for Monocular Depth Estimation Ziyang Song, Zerong Wang, Bo Li, Hao Zhang, Ruijie Zhu, Li Liu, Peng-Tao Jiang, Tianzhu Zhang arXiv preprint, 2024 [Paper] [Project Page] [Code] [Model]
	Plane2Depth: Hierarchical Adaptive Plane Guidance for Monocular Depth Estimation Li Liu, Ruijie Zhu, Jiacheng Deng, Ziyang Song, Wenfei Yang, Tianzhu Zhang IEEE TCSVT 2024 [Paper] [Project Page] [Code]
	ScaleDepth: Decomposing Metric Depth Estimation into Scale Prediction and Relative Depth Estimation Ruijie Zhu, Chuxin Wang, Ziyang Song, Li Liu, Tianzhu Zhang, Yongdong Zhang arXiv preprint, 2024 [Paper] [Project Page] [Code]
	ER-Depth: Enhancing the Robustness of Self-Supervised Monocular Depth Estimation in Challenging Scenes Ziyang Song, Ruijie Zhu, Chuxin Wang, Jiacheng Deng, Jianfeng He, Tianzhu Zhang ACM TOMM 2025 [Paper] [Project] [Code]
	HA-Bins: Hierarchical Adaptive Bins for Robust Monocular Depth Estimation across Multiple Datasets Ruijie Zhu, Ziyang Song, Li Liu, Jianfeng He, Tianzhu Zhang, Yongdong Zhang IEEE TCSVT 2023 [Paper] [Project Page] [Code]

Talks

	MotionGS: Exploring Explicit Motion Guidance for Deformable 3D Gaussian Splatting Poster session: East Exhibit Hall A-C #1203 NeurIPS 2024, Vancouver
	TIFace: Improving Facial Reconstruction through Tensorial Radiance Fields and Implicit Surfaces "To NeRF or not to NeRF" Workshop ICCV 2023, Paris
	IRUDepth: Improve Robustness and Uncertainty of Self-Supervised Monocular Depth Estimation "RoboDepth" Workshop ICRA 2023, London
	MixBins: Group-wise Bins for Robust Monocular Depth Estimation via Mixing Datasets "Robust Vision Challenge" Workshop ECCV 2022, Tel Aviv

Awards

Outstanding Graduate of USTC, 2025
National Scholarship of China, 2024
Deep Space Exploration Scholarship, 2024
USTC-Suzhou Industrial Park Scholarship & First Class Scholarship of USTC, 2023
Outstanding Graduate of NWPU, 2022
CATIC Scholarship (Top 1% scholarship for graduates) & First Class Scholarship of NWPU, 2021
Wuyajun Scholarship & First Class Scholarship of NWPU, 2019, 2020

Academic Services

Conference Reviewer: CVPR, ICCV, ECCV, NeurIPS, ICLR, ICRA, 3DV
Journal Reviewer: IJCV, IEEE TCSVT, IEEE TMM

Posts

VALSE•2021 meeting record. [Yuque] [Zhihu]
Course Notes of Statistical Learning course in USTC. [Git repo] [Zhihu] [PDF] [Abstract]

	DepthMaster: Taming Diffusion Models for Monocular Depth Estimation Ziyang Song, Zerong Wang, Bo Li, Hao Zhang, Ruijie Zhu, Li Liu, Peng-Tao Jiang, Tianzhu Zhang arXiv preprint, 2024 [Paper] [Project Page] [Code] [Model]
	Plane2Depth: Hierarchical Adaptive Plane Guidance for Monocular Depth Estimation Li Liu, Ruijie Zhu, Jiacheng Deng, Ziyang Song, Wenfei Yang, Tianzhu Zhang IEEE TCSVT 2024 [Paper] [Project Page] [Code]
	ScaleDepth: Decomposing Metric Depth Estimation into Scale Prediction and Relative Depth Estimation Ruijie Zhu, Chuxin Wang, Ziyang Song, Li Liu, Tianzhu Zhang, Yongdong Zhang arXiv preprint, 2024 [Paper] [Project Page] [Code]
	ER-Depth: Enhancing the Robustness of Self-Supervised Monocular Depth Estimation in Challenging Scenes Ziyang Song, Ruijie Zhu, Chuxin Wang, Jiacheng Deng, Jianfeng He, Tianzhu Zhang ACM TOMM 2025 [Paper] [Project] [Code]
	HA-Bins: Hierarchical Adaptive Bins for Robust Monocular Depth Estimation across Multiple Datasets Ruijie Zhu, Ziyang Song, Li Liu, Jianfeng He, Tianzhu Zhang, Yongdong Zhang IEEE TCSVT 2023 [Paper] [Project Page] [Code]

Ruijie Zhu