Ruijie Zhu

According to our database, Ruijie Zhu authored at least 16 papers between 2023 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

ReFlow: Self-correction Motion Learning for Dynamic Scene Reconstruction.

Yanzhe Liang, Ruijie Zhu, Hanzhi Chang, Zhuoyuan Li, Jiahao Lu, Tianzhu Zhang

CoRR, April, 2026

SkeletonGaussian: Editable 4D Generation through Gaussian Skeletonization.

Lifan Wu, Ruijie Zhu, Yubo Ai, Tianzhu Zhang

CoRR, February, 2026

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

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

ER-Depth: Enhancing the Robustness of Self-Supervised Monocular Depth Estimation in Challenging Scenes.

Ziyang Song, Ruijie Zhu, Jing Wang, Chuxin Wang, Jianfeng He, Jiacheng Deng, Wenfei Yang, Tianzhu Zhang

ACM Trans. Multim. Comput. Commun. Appl., December, 2025

Plane2Depth: Hierarchical Adaptive Plane Guidance for Monocular Depth Estimation.

Li Liu, Ruijie Zhu, Jiacheng Deng, Ziyang Song, Wenfei Yang, Tianzhu Zhang

IEEE Trans. Circuits Syst. Video Technol., February, 2025

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

CoRR, January, 2025

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

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2025

2024

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 Trans. Circuits Syst. Video Technol., June, 2024

ScaleDepth: Decomposing Metric Depth Estimation into Scale Prediction and Relative Depth Estimation.

Ruijie Zhu, Chuxin Wang, Ziyang Song, Li Liu, Tianzhu Zhang, Yongdong Zhang

CoRR, 2024

DN-4DGS: Denoised Deformable Network with Temporal-Spatial Aggregation for Dynamic Scene Rendering.

Jiahao Lu, Jiacheng Deng, Ruijie Zhu, Yanzhe Liang, Wenfei Yang, Xu Zhou, Tianzhu Zhang

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

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

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

TRICKY 2024 Challenge on Monocular Depth from Images of Specular and Transparent Surfaces.

Pierluigi Zama Ramirez, Alex Costanzino, Fabio Tosi, Matteo Poggi, Luigi Di Stefano, Jean-Baptiste Weibel, Dominik Bauer, Doris Antensteiner, Markus Vincze, Jiaqi Li, Yachuan Huang, Junrui Zhang, Yiran Wang, Jinghong Zheng, Liao Shen, Zhiguo Cao, Ziyang Song, Zerong Wang, Ruijie Zhu, Hao Zhang, Rui Li, Jiang Wu, Xian Li, Yu Zhu, Jinqiu Sun, Yanning Zhang, Pihai Sun, Yuanqi Yao, Wenbo Zhao, Kui Jiang, Junjun Jiang, Mykola Lavreniuk, Pengzhi Li, Jui-Lin Wang

Proceedings of the Computer Vision - ECCV 2024 Workshops, 2024

2023

TIFace: Improving Facial Reconstruction through Tensorial Radiance Fields and Implicit Surfaces.

Ruijie Zhu, Jiahao Chang, Ziyang Song, Jiahuan Yu, Tianzhu Zhang

CoRR, 2023

EC-Depth: Exploring the consistency of self-supervised monocular depth estimation under challenging scenes.

Ruijie Zhu, Ziyang Song, Chuxin Wang, Jianfeng He, Tianzhu Zhang

CoRR, 2023

The RoboDepth Challenge: Methods and Advancements Towards Robust Depth Estimation.

Lingdong Kong, Yaru Niu, Shaoyuan Xie, Hanjiang Hu, Lai Xing Ng, Benoit R. Cottereau, Ding Zhao, Liangjun Zhang, Hesheng Wang, Wei Tsang Ooi, Ruijie Zhu, Ziyang Song, Li Liu, Tianzhu Zhang, Jun Yu, Mohan Jing, Pengwei Li, Xiaohua Qi, Cheng Jin, Yingfeng Chen, Jie Hou, Jie Zhang, Zhen Kan, Qiang Ling, Liang Peng, Minglei Li, Di Xu, Changpeng Yang, Yuanqi Yao, Gang Wu, Jian Kuai, Xianming Liu, Junjun Jiang, Jiamian Huang, Baojun Li, Jiale Chen, Shuang Zhang, Sun Ao, Zhenyu Li, Runze Chen, Haiyong Luo, Fang Zhao, Jingze Yu

CoRR, 2023

VSCHH 2023: A Benchmark for the View Synthesis Challenge of Human Heads.

Youngkyoon Jang, Jiali Zheng, Jifei Song, Helisa Dhamo, Eduardo Pérez-Pellitero, Thomas Tanay, Matteo Maggioni, Richard Shaw, Sibi Catley-Chandar, Yiren Zhou, Jiankang Deng, Ruijie Zhu, Jiahao Chang, Ziyang Song, Jiahuan Yu, Tianzhu Zhang, Khanh-Binh Nguyen, Joon-Sung Yang, Andreea Dogaru, Bernhard Egger, Heng Yu, Aarush Gupta, Joel Julin, László A. Jeni, Hyeseong Kim, Jungbin Cho, Dosik Hwang, Deukhee Lee, Doyeon Kim, Dongseong Seo, SeungJin Jeon, YoungDon Choi, Jun Seok Kang, Ahmet Cagatay Seker, Sang Chul Ahn, Ales Leonardis, Stefanos Zafeiriou

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023