| CARVIEW |
Researcher
Baidu Inc.
Email
Google
Scholar
Linkedin
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
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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
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GS-RoadPatching: Inpainting Gaussians via 3D Searching and Placing for Driving Scenes
[pdf]
Guo Chen, Jiarun Liu, Sicong Du, Chenming Wu, Deqi Li, Shi-Sheng Huang, Guofeng Zhang, Sheng Yang
ACM SIGGRAPH Asia (Conference Proceedings), 2025
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Surfel-based Gaussian Inverse Rendering for Fast and Relightable Dynamic Human
Reconstruction from Monocular Videos
[pdf]
Yiqun Zhao, Chenming Wu, Binbin Huang, Yihao Zhi, Chen Zhao, Jingdong Wang, Shenghua Gao
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2025
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GIR: 3D Gaussian Inverse Rendering for Relightable Scene Factorization
[pdf]
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
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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
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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
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TexGaussian: Generating High-quality PBR Material via Octree-based 3D Gaussian Splatting
[pdf]
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
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Splatter-360: Generalizable 360 Gaussian Splatting for Wide-baseline Panoramic Images
[pdf]
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
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VDG: Vision-Only Dynamic Gaussian for Driving Simulation
[pdf]
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
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Gaussian-LIC: Real-Time Photo-Realistic SLAM with Gaussian Splatting and LiDAR-Inertial-Camera Fusion
[pdf]
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
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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
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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
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OpenGaussian: Towards Point-Level 3D Gaussian-based Open Vocabulary Understanding
[pdf]
[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
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GGRt: Towards Pose-free Generalizable 3D Gaussian Splatting in Real-time
[pdf]
[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
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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
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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
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GauLoc: 3D Gaussian Splatting‐based Camera Relocalization
[pdf]
[code]
Zhe Xin, Chengkai Dai, Ying Li, Chenming Wu*
Computer Graphics Forum (CGF), 2024
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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
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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
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LiDAR-CS Dataset: LiDAR Point Cloud Dataset with Cross-Sensors for 3D Object
Detection
[pdf]
Jin Fang, Dingfu Zhou, Jingjing Zhao, Chenming Wu, Chulin Tang, Cheng-Zhong Xu, Liangjun
Zhang
IEEE International Conference on Robotics and Automation (ICRA), 2024
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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
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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
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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
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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
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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
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Carpentry Compiler
[pdf]
[code]
Chenming Wu, Haisen Zhao, Chandrakana Nandi, Jeffrey I Lipton, Zachary Tatlock, Adriana Schulz
ACM Transactions on Graphics (SIGGRAPH Asia), 2019
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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
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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
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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
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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
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Support-free Volume Printing by Multi-axis Motion
[pdf]
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RoboFDM: A Robotic System for Support-free Fabrication using FDM
[pdf]
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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
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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
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Academic Service
Area Chair: ACMMM 2025Conference 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.
