Yi-Ruei Liu 劉珆睿

Incoming Ph.D student @ NYCU CS

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About Me

I’m an incoming Ph.D. student in Computer Science at National Yang Ming Chiao Tung University (NYCU), advised by Prof. Yu-Lun Liu. I work on 3D scene reconstruction and physically-based rendering, particularly focusing on inverse rendering, 3D Gaussian Splatting, and physics effect simulation.

I received my Master of Computer Science from the University of Illinois Urbana-Champaign (UIUC), and bachelor in Computer Science from NYCU.

I am always open to research collaborations. If you are interested in exploring potential projects together, please feel free to get in touch.

News

Dec 22, 2025 Graduated from UIUC with a MCS degree.
Dec 07, 2025 Delivered an oral presentation on 4D-GRT at the NeurIPS 2025 SpaVLE workshop.
Sep 23, 2025 4D-GRT accepted to NeurIPS 2025 SpaVLE workshop as an Oral Paper.
Jul 01, 2025 Joined Academia Sinica AIIU Lab as a Research Assistant, supervised by Prof. Jun-Cheng Chen.
Mar 20, 2025 SpectroMotion accepted to CVPR 2025.
Jan 20, 2025 Graduated from NYCU with a B.S. in Computer Science.
Sep 01, 2024 Started my Master of Computer Science (MCS) degree at the UIUC.

Publications

  1. skyfallgs.jpg
    Skyfall-GS: Synthesizing Immersive 3D Urban Scenes from Satellite Imagery
    Jie-Ying Lee, Yi-Ruei Liu, Shr-Ruei Tsai, and 6 more authors
    arXiv, 2025

    We present Skyfall-GS, a framework that synthesizes photorealistic, city-block scale 3D urban scenes from satellite imagery using diffusion models, eliminating the need for expensive 3D scanning and manual annotation while enabling real-time exploration.

  2. 4dgrt.png
    Every Camera Effect, Every Time, All at Once: 4D Gaussian Ray Tracing for Physics-based Camera Effect Data Generation
    Yi-Ruei Liu, You-Zhe Xie, Yu-Hsiang Hsu, and 3 more authors
    NeurIPS 2025 SpaVLE workshop, 2025

    We present 4D-GRT, a 4D Gaussian Splatting framework that generates physically accurate camera effects in dynamic scenes via differentiable ray tracing. Our approach combines a two-stage reconstruction pipeline with ray tracing to simulate complex optical effects, providing a robust foundation for camera-aware data generation.

  3. spectromotion.jpg
    SpectroMotion: Dynamic 3D Reconstruction of Specular Scenes
    Cheng-De Fan, Chen-Wei Chang, Yi-Ruei Liu, and 4 more authors
    In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2025

    We present SpectroMotion, the first 3D Gaussian Splatting method capable of reconstructing photorealistic dynamic specular scenes. By combining 3DGS with physically-based rendering and deformation fields, we achieve high-quality synthesis of challenging real-world dynamic reflective surfaces.