Chenming Wu

Researcher
Baidu Inc.
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I am a senior researcher at Baidu VIS. We are actively looking for interns to work on 3D AIGC and Reconstruction, please send me an email if you are interested. I previously worked at Tencent and interned at AiFi Inc.. I received my Ph.D. degree from Graphics and Geometric Computing Group, Department of Computer Science and Technology, Tsinghua University in 2020. I visited the Graphics and Imaging Lab, Paul G. Allen School of Computer Science & Engineering, University of Washington, Seattle in 2019. My research interest lies in computational design, 3D content generation, and robotics.

Publications

	OpenGaussian: Towards Point-Level 3D Gaussian-based Open Vocabulary Understanding [pdf] [project page] [code] Yanmin Wu, Jiarui Meng, Haijie Li, Chenming Wu, Yahao Shi, Xinhua Cheng, Chen Zhao, Haocheng Feng, Errui Ding, Jingdong Wang, Jian Zhang Advances in Neural Information Processing Systems (NeurIPS), 2024
	XLD: A Cross-Lane Dataset for Benchmarking Novel Driving View Synthesis [pdf] [project page] Hao Li, Ming Yuan, Yan Zhang, Chenming Wu, Chen Zhao, Chunyu Song, Haocheng Feng, Errui Ding, Dingwen Zhang, Jingdong Wang International Conference on 3D Vision (3DV), 2025
	GGRt: Towards Pose-free Generalizable 3D Gaussian Splatting in Real-time [pdf] [project page] [code] Hao Li, Yuanyuan Gao, Chenming Wu, Dingwen Zhang, Yalun Dai, Chen Zhao, Haocheng Feng, Errui Ding, Jingdong Wang, Junwei Han European Conference on Computer Vision (ECCV), 2024
	HO-Gaussian: Hybrid Optimization of 3D Gaussian Splatting for Urban Scenes [pdf] Zhuopeng Li, Yilin Zhang, Chenming Wu, Jianke Zhu, Liangjun Zhang European Conference on Computer Vision (ECCV), 2024
	DGNR: Density-Guided Neural Point Rendering of Large Driving Scenes [pdf] [code] Zhuopeng Li, Chenming Wu, Liangjun Zhang, and Jianke Zhu IEEE Transactions on Automation Science and Engineering (TASE), 2024
	HPHS: Hierarchical Planning based on Hybrid Frontier Sampling for Unknown Environments Exploration [pdf] [code] Shijun Long, Ying Li, Chenming Wu, Bin Xu, Wei Fan IEEE International Conference on Intelligent Robots and Systems (IROS), 2024
	TexOct: Generating Textures of 3D Models with Octree-based Diffusion [pdf] Jialun Liu, Chenming Wu*, Xinqi Liu, Xing Liu, Jinbo Wu, Haotian Peng, Chen Zhao, Haocheng Feng, Jingtuo Liu, Errui Ding IEEE/CVF International Conference on Computer Vision and Pattern Recognition (CVPR), 2024
	Generating Material-Aware 3D Models from Sparse Views [pdf] [code] Shi Mao, Chenming Wu, Ran Yi, Zhelun Shen, Liangjun Zhang, Wolfgang Heidrich IEEE/CVF International Conference on Computer Vision and Pattern Recognition (CVPR) Workshop PBDL, 2024
	LiDAR-CS Dataset: LiDAR Point Cloud Dataset with Cross-Sensors for 3D Object Detection [pdf] [project page] Jin Fang, Dingfu Zhou, Jingjing Zhao, Chenming Wu, Chulin Tang, Cheng-Zhong Xu, Liangjun Zhang IEEE International Conference on Robotics and Automation (ICRA), 2024
	HERO-SLAM: Hybrid Enhanced Robust Optimization of Neural SLAM [pdf] [project page] [code] Zhe Xin, Yufeng Yue, Liangjun Zhang, Chenming Wu* IEEE International Conference on Robotics and Automation (ICRA), 2024
	Understanding In-Context Learning from Repetitions [pdf] [code] Jianhao Yan, Jin Xu, Chiyu Song, Chenming Wu, Yafu Li, and Yue Zhang International Conference on Learning Representations (ICLR), 2024
	NeuS-PIR: Learning Relightable Neural Surface using Pre-Integrated Rendering [pdf] [code] Shi Mao, Chenming Wu* Zhelun Shen, Yifan Wang, Dayan Wu, Liangjun Zhang Arxiv Preprint, 2023
	Digging into Depth Priors for Outdoor Neural Radiance Fields [pdf] [project page] [code] Chen Wang, Jiadai Sun, Lina Liu, Chenming Wu, Zhelun Shen, Dayan Wu, Yuchao Dai, Liangjun Zhang ACM International Conference on Multimedia (MM, Oral), 2023
	MapNeRF: Incorporating Map Priors into Neural Radiance Fields for Driving View Simulation [pdf] [video] Chenming Wu, Jiadai Sun, Zhelun Shen, and Liangjun Zhang IEEE International Conference on Intelligent Robots and Systems (IROS), 2023
	Boosting Feedback Efficiency of Interactive Reinforcement Learning by Adaptive Learning from Scores [pdf] [code] Shukai Liu, Chenming Wu*, Ying Li, and Liangjun Zhang IEEE International Conference on Intelligent Robots and Systems (IROS), 2023
	A Multi-Axis Robot-based Bioprinting System Supporting Natural Cell Function Preservation and Cardiac Tissue Fabrication [pdf] [video] Zeyu Zhang^, Chenming Wu^, Chengkai Dai^, Qingqing Shi^, Guoxin Fang, Dongfang Xie, Xiangjie Zhao, Yong-Jin Liu, and Charlie CL Wang, Xiu-Jie Wang Bioactive Materials (Winner of the MEDTECH prize 2022), 2022
	Digging Errors in NMT: Evaluating and Understanding Model Errors from Partial Hypothesis Space [pdf] [code] Jianhao Yan^, Chenming Wu^, Fandong Meng, and Jie Zhou Empirical Methods in Natural Language Processing (EMNLP), 2022
	Carpentry Compiler [pdf] [project page] [code] Chenming Wu, Haisen Zhao, Chandrakana Nandi, Jeffrey I Lipton, Zachary Tatlock, Adriana Schulz ACM Transactions on Graphics (SIGGRAPH Asia), 2019
	Learning to Accelerate Decomposition for Multi-Directional 3D Printing [pdf] [code] Chenming Wu, Yong-Jin Liu, Charlie CL Wang IEEE Robotics and Automation Letters (RA-L), 2020
	General Support-Effective Decomposition for Multi-Directional 3D Printing [pdf] [code] Chenming Wu, Chengkai Dai, Guoxin Fang, Yong-Jin Liu, Charlie CL Wang IEEE Transactions on Automation Science and Engineering (TASE), 2019
	Plant Phenotyping by Deep-Learning-Based Planner for Multi-Robots [pdf] [video] Chenming Wu, Rui Zeng, Jia Pan, Charlie CL Wang, Yong-Jin Liu IEEE Robotics and Automation Letters (RA-L), 2019
	Energy-Efficient Coverage Path Planning for General Terrain Surfaces [pdf] Chenming Wu, Chengkai Dai, Xiaoxi Gong, Yong-Jin Liu, Jun Wang, Xianfeng David Gu, and Charlie CL Wang IEEE Robotics and Automation Letters (RA-L), 2019
	Support-free Volume Printing by Multi-axis Motion [pdf] [video] [code] Chengkai Dai, Charlie CL Wang, Chenming Wu, Sylvain Lefebvre, Guoxin Fang, Yong-Jin Liu ACM Transactions on Graphics (SIGGRAPH), 2018
	Interactive Partitioning of 3D Models into Printable Parts [pdf] [dataset] Aamir Khan Jadoon^, Chenming Wu^, Yong-Jin Liu, Ying He, and Charlie C.L. Wang IEEE Computer Graphics and Applications (CGA), vol.38, no.4, July/August 2018
	RoboFDM: A Robotic System for Support-free Fabrication using FDM [pdf] [video] [code] Chenming Wu^, Chengkai Dai^, Guoxin Fang, Yong-Jin Liu, and Charlie CL Wang IEEE International Conference on Robotics and Automation (ICRA), 2017
	Delta DLP 3-D Printing of Large Models [pdf] Ran Yi^, Chenming Wu^, Yong-Jin Liu, Ying He, and Charlie CL Wang IEEE Transactions on Automation Science and Engineering (TASE), 2017
	Delta DLP 3D Printing with Large Size [pdf] Chenming Wu^, Ran Yi^, Yong-Jin Liu, Ying He, and Charlie CL Wang IEEE International Conference on Intelligent Robots and Systems (IROS), 2016

Academic Service

Reviewer for Journals: IEEE Transactions on Robotics, Computer & Graphics, Additive Manufacturing, etc.
Reviewer for Conferences: SIGGRAPH (Asia), NeurIPS, ICLR, ICRA, IROS, CVPR, ICCV, ECCV, WACV, ACL, EMNLP, 3DV, ACM MM, etc.