Wang Zhao

I am currently a Senior Researcher at Tencent ARCLab, working on 3D AIGC. I obtained my Ph.D degree at Tsinghua University in 2024, advised by Prof. Yong-Jin Liu. Before that, I received my Bachelor's degree in Electronic Engineering from Tsinghua University in 2019. I have been lucky to spent some time at VAST, Meta Reality Labs, ByteDance, Stanford University, and Owlii.

My recent research interests focus on 3D reconstruction and generation, with the goal of digitization of 3D world and enabling immersive 3D content creation.

Email / Google Scholar / Github

Selected Publications

* indicates equal contribution

	DI-PCG: Diffusion-based Efficient Inverse Procedural Content Generation for High-quality 3D Asset Creation Wang Zhao, Yan-Pei Cao, Jiale Xu, Yuejiang Dong, Ying Shan arxiv, 2024 [Project page] [arXiv] [Code] [Gradio Demo]
	StdGEN: Semantic-Decomposed 3D Character Generation from Single Images Yuze He, Yanning Zhou, Wang Zhao, Zhongkai Wu, Kaiwen Xiao, Wei Yang, Yong-Jin Liu, Xiao Han arxiv 2024 [Project page] [arXiv] [Code]
	AlphaTablets: A Generic Plane Representation for 3D Planar Reconstruction from Monocular Videos Yuze He, Wang Zhao, Shaohui Liu, Yubin Hu, Yushi Bai, Yu-Hui Wen, Yong-Jin Liu NeurIPS, 2024 [Project page] [arXiv] [Code]
	MonoPlane: Exploiting Monocular Geometric Cues for Generalizable 3D Plane Reconstruction Wang Zhao, Jiachen Liu, Sheng Zhang, Yishu Li, Sili Chen, Sharon X Huang, Yong-Jin Liu, Hengkai Guo IROS, 2024 [arXiv] [Code]
	Generalizable Thermal-based Depth Estimation via Pre-trained Visual Foundation Model Ruoyu Fan, Wang Zhao, Matthieu Lin, Qi Wang, Yong-Jin Liu, Wenping Wang ICRA, 2024 [Paper]
	MMPI: A flexible Radiance Field Representation by Multiple Multi-plane Images Blending Yuze He, Peng Wang, Yubin Hu, Wang Zhao, Ran Yi, Yong-Jin Liu, Wenping Wang ICRA, 2024 [arXiv]
	O²-Recon: Completing 3D Reconstruction of Occluded Objects in the Scene with a Pre-trained 2D Diffusion Model Yubin Hu, Sheng Ye, Wang Zhao, Matthieu Lin, Yuze He, Yu-Hui Wen, Ying He, Yong-Jin Liu AAAI, 2024 [arxiv] [Code]
	T³Bench: Benchmarking Current Progress in Text-to-3D Generation Yuze He, Yushi Bai, Matthieu Lin, Wang Zhao, Yubin Hu, Jenny Sheng, Ran Yi, Juanzi Li, Yong-Jin Liu Arxiv, 2023 [Project page] [arxiv] [Code]
	DarkFeat: Noise-robust Feature Detector and Descriptor for Extremely Low-light Raw Images Yuze He, Yubin Hu, Wang Zhao, Jisheng Li, Yong-Jin Liu, Yuxing Han, Jiangtao Wen AAAI, 2023 [Paper] [Code]
	ParticleSfM: Exploiting Dense Point Trajectories for Localizing Moving Cameras in the Wild Wang Zhao, Shaohui Liu, Hengkai Guo, Wenping Wang, Yong-Jin Liu ECCV, 2022 [Project page] [arXiv] [Code]
	A Confidence-based Iterative Solver of Depths and Surface Normals for Deep Multi-view Stereo Wang Zhao, Shaohui Liu, Yi Wei, Hengkai Guo, Yong-Jin Liu ICCV, 2021 [arXiv] [Code]
	NerfingMVS: Guided Optimization of Neural Radiance Fields for Indoor Multi-view Stereo Yi Wei, Shaohui Liu, Yongming Rao, Wang Zhao, Jiwen Lu , Jie Zhou ICCV, 2021 [Project page] [arXiv] [Code]
	Towards Better Generalization: Joint Depth-Pose Learning without Posenet Wang Zhao, Shaohui Liu, Yezhi Shu, Yong-Jin Liu CVPR, 2020 [arXiv] [Code]
	Configuration Space Decomposition for Learning-based Collision Checking in High-DOF Robots Yiheng Han, Wang Zhao, Jia Pan, Yong-Jin Liu IROS, 2020 [Paper]
	PC-NBV: A Point Cloud Based Deep Network for Efficient Next Best View Planning Rui Zeng, Wang Zhao, Yong-Jin Liu IROS, 2020 [Paper] [Code]
	GSPN: Generative Shape Proposal Network for 3D Instance Segmentation in Point Cloud Li Yi, Wang Zhao, He Wang, Minhyuk Sung, Leonidas J Guibas CVPR, 2019 [arXiv] [Code]
	Conditional Single-view Shape Generation for Multi-view Stereo Reconstruction Yi Wei, Shaohui Liu, Wang Zhao, Jiwen Lu , Jie Zhou CVPR*, 2019 [Project page] [arXiv] [Code]
	An Adaptive Filter for Deep Learning Networks on Large-Scale Point Cloud Wang Zhao, Ran Yi, Yong-Jin Liu ICIP, 2019 [Paper]

Experiences

	VAST Research Intern Topic: 3D AIGC Adviser: Yan-Pei Cao
	Meta Reality Labs Research Scientist Intern Topic: Any point tracking, 3D Reconstruction Adviser: Tanner Schmidt
	ByteDance Research Intern Topic: Structure-from-Motion, Multi-view Stereo Adviser: Hengkai Guo
	Stanford University Research Intern Topic: Point cloud segmentation Adviser: Li Yi and Leonidas Guibas
	Owlii Research Intern Topic: 2D Matting Adviser: Yi Xu

Academic Services

Conference Reviewer: CVPR, ICCV, ECCV, AAAI, ICRA, IROS, NeurIPS

Journal Reviewer: TPAMI, TIP, TVCJ

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