About Me

My name is Zihan Zhu (朱紫涵). I’m currently a Direct Doctorate student at ETH Zurich in Computer Science, supervised by Prof. Marc Pollefeys. I obtained my Bachelor degree at Zhejiang University. My research interest lies in the intersection between computer vision and computer graphics.

🔥 News

  • 2023.11:  🎉🎉 Our paper NICER-SLAM is accepted to 3DV 2024!
  • 2022.03:  🎉🎉 One paper conditionally accepted to SIGGRAPH 2022 (journal track)!
  • 2022.03:  🎉🎉 I have been admitted to the Direct Doctorate programme in the ETH Zurich Department of Computer Science!
  • 2022.03:  🎉🎉 Our paper NICE-SLAM is accepted to CVPR 2022!

📖 Educations

  • 2022.09 - present, Direct Doctorate, Department of Computer Science, ETH Zurich, Zurich, Switzerland.
  • 2018.09 - 2022.06, Undergraduate, Chu Kochen Honors College, Zhejiang Univeristy, Hangzhou, China.

📝 Publications

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NICER-SLAM: Neural Implicit Scene Encoding for RGB SLAM, Zihan Zhu*, Songyou Peng*, Viktor Larsson, Zhaopeng Cui, Martin R Oswald, Andreas Geiger, Marc Pollefeys

( * equal contribution)

3DV, 2024 (Oral) | Project

  • RGB-only version of our NICE-SLAM, making it NICER.
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Scalable Neural Indoor Scene Rendering, Xiuchao Wu*, Jiamin Xu*, Zihan Zhu, Hujun Bao, Qixing Huang, James Tompkin, Weiwei Xu

( * equal contribution)

ACM Transactions on Graphics (TOG) 41, 4 (SIGGRAPH 2022) | Project

  • A scalable neural scene reconstruction and rendering method to support distributed training and interactive rendering of large indoor scenes.
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NICE-SLAM: Neural Implicit Scalable Encoding for SLAM, Zihan Zhu*, Songyou Peng*, Viktor Larsson, Weiwei Xu, Hujun Bao, Zhaopeng Cui, Martin R Oswald, Marc Pollefeys

( * equal contribution)

CVPR, 2022 | Project

  • A neural implicit-based RGB-D SLAM that can be applied to large-scale scenes.
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Scalable Image-based Indoor Scene Rendering with Reflections, Jiamin Xu, Xiuchao Wu, Zihan Zhu, Qixing Huang, Yin Yang, Hujun Bao, Weiwei Xu

ACM Transactions on Graphics (TOG) 40, 4 (SIGGRAPH 2021) | Project

  • An image-based rendering method that can be applied to large-scale indoor scenes with reflections.

💻 Academic Services

Conference Reviewer: CVPR, ICCV, ICRA, SIGGRAPH Asia, 3DV

Journal Reviewer: T-RO, RA-L, TVCG