Chenming Wu

Researcher
Baidu Inc.
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I am currently working at Baidu Inc.. 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 CSE, University of Washington (Seattle, WA) in 2019, and Department of Design Engineering of Delft University of Technology (Netherlands) in 2017. My research interest lies in computational design, video/3D generation, and robotics.

We are actively looking for full-time employees and interns to work on reconstruction and generation, send me an email if you are interested.

Selected Publication

	NeuS-PIR: Learning Relightable Neural Surface using Pre-Integrated Rendering [pdf] [code] Shi Mao, Chenming Wu*, Zhelun Shen, Yifan Wang, Dayan Wu, Liangjun Zhang Computational Visual Media Journal (CVM), Spotlight article, Issue 4, 2025
	GS-RoadPatching: Inpainting Gaussians via 3D Searching and Placing for Driving Scenes [pdf] [project page] Guo Chen, Jiarun Liu, Sicong Du, Chenming Wu, Deqi Li, Shi-Sheng Huang, Guofeng Zhang, Sheng Yang ACM SIGGRAPH Asia (Conference Proceedings), 2025
	Surfel-based Gaussian Inverse Rendering for Fast and Relightable Dynamic Human Reconstruction from Monocular Videos [pdf] [project page] Yiqun Zhao, Chenming Wu, Binbin Huang, Yihao Zhi, Chen Zhao, Jingdong Wang, Shenghua Gao IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2025
	GIR: 3D Gaussian Inverse Rendering for Relightable Scene Factorization [pdf] [project page] Yahao Shi, Yanmin Wu, Chenming Wu*, Xing Liu, Chen Zhao, Haocheng Feng, Jian Zhang, Bin Zhou, Errui Ding, Jingdong Wang IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2025
	U-ViLAR: Uncertainty-Aware Visual Localization for Autonomous Driving via Differentiable Association and Registration [pdf] Xiaofan Li, Zhihao Xu, Chenming Wu, Zhao Yang, Yumeng Zhang, Jiang-Jiang Liu, Haibao Yu, Fan Duan, Xiaoqing Ye, Yuan Wang, Shirui Li, Xun Sun, Ji Wan, Jun Wang IEEE/CVF International Conference on Computer Vision (ICCV), Honolulu, Hawaii, 2025
	DriVerse: Navigation World Model for Driving Simulation via Multimodal Trajectory Prompting and Motion Alignment [pdf] [code] Xiaofan Li^, Chenming Wu^, Zhao Yang, Zhihao Xu, Dingkang Liang, Yumeng Zhang, Ji Wan, Jun Wang ACM International Conference on Multimedia (ACM MM), Dublin, Ireland, 2025
	TexGaussian: Generating High-quality PBR Material via Octree-based 3D Gaussian Splatting [pdf] [project page] Bojun Xiong, Jialun Liu, Jiakui Hu, Chenming Wu, Jinbo Wu, Xing Liu, Chen Zhao, Errui Ding, Zhouhui Lian IEEE/CVF International Conference on Computer Vision and Pattern Recognition (CVPR), 2025
	Splatter-360: Generalizable 360 Gaussian Splatting for Wide-baseline Panoramic Images [pdf] [project page] Zheng Chen^, Chenming Wu^, Zhelun Shen, Chen Zhao, Weicai Ye, Haocheng Feng, Errui Ding, Song-Hai Zhang IEEE/CVF International Conference on Computer Vision and Pattern Recognition (CVPR), 2025
	VDG: Vision-Only Dynamic Gaussian for Driving Simulation [pdf] [project page] Hao Li, Jingfeng Li, Dingwen Zhang, Chenming Wu*, Jieqi Shi, Chen Zhao, Haocheng Feng, Errui Ding, Jingdong Wang, Junwei Han IEEE Robotics and Automation Letters (RA-L), 2025
	Gaussian-LIC: Real-Time Photo-Realistic SLAM with Gaussian Splatting and LiDAR-Inertial-Camera Fusion [pdf] [project page] Xiaolei Lang, Laijian Li, Chenming Wu, Chen Zhao, Lina Liu, Yong Liu, Jiajun Lv, Xingxing Zuo IEEE International Conference on Robotics and Automation (ICRA), 2025
	XLD: A Cross-Lane Dataset for Benchmarking Novel Driving View Synthesis [pdf] [project page] [code] Hao Li^, Chenming Wu^, Ming Yuan, Yan Zhang, Chen Zhao, Chunyu Song, Haocheng Feng, Errui Ding, Dingwen Zhang, Jingdong Wang International Conference on 3D Vision (3DV), 2025
	Para-Lane: Multi-Lane Dataset Registering Parallel Scans for Benchmarking Novel View Synthesis [pdf] [project page] Ziqian Ni, Sicong Du, Zhenghua Hou, Chenming Wu, Sheng Yang International Conference on 3D Vision (3DV), 2025
	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
	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
	GauLoc: 3D Gaussian Splatting‐based Camera Relocalization [pdf] [code] Zhe Xin, Chengkai Dai, Ying Li, Chenming Wu* Computer Graphics Forum (CGF), 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
	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
	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
	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
	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

Area Chair: ACMMM 2025
Conference Reviewer: SIGGRAPH (Asia), NeurIPS, ICLR, ICML, ICRA, IROS, CVPR, ICCV, ECCV, WACV, ACL, EMNLP, 3DV, ACM MM, etc.
Journal Reviewer: IEEE Transactions on Robotics, IEEE Transactions on Automation Science and Engineering, Computer & Graphics, AM, etc.