publications

publications by categories in reversed chronological order. generated by jekyll-scholar.

2025

  1. plant.png
    Demeter: A Parametric Model of Crop Plant Morphology from the Real World
    Tianhang ChengAlbert J. Zhai, Evan Z. Chen, and 13 more authors
    In IEEE/CVF International Conference on Computer Vision, 2025

    TL;DR: A 3D soybean dataset and the parametric model for crop plants

2024

  1. relight_dataset.png
    Objects with Lighting: A Real-World Dataset for Evaluating Reconstruction and Rendering for Object Relighting
    Benjamin Ummenhofer, Sanskar Agrawal, Rene Sepulveda, and 6 more authors
    In International Conference on 3D Vision, 2024

    TL;DR: A real-world dataset for evaluating inverse rendering methods in object relighting, allowing for a comprehensive analysis of relighting performance.

2023

  1. dup.gif
    Structure from Duplicates: Neural Inverse Graphics from a Pile of Objects
    Tianhang ChengWei-Chiu MaKaiyu Guan, and 2 more authors
    In Thirty-seventh Conference on Neural Information Processing Systems, 2023

    TL;DR: Inverse rendering from a pile of similar objects.

2020

  1. cloak.png
    Designing conformal cloaks by manipulating structures directly in the physical space
    Zhanyi Wang, Yichao Liu, Tianhang Cheng, and 2 more authors
    Optics Express, 2020

    The method to elaborately design the refractive index profile in the lower Riemann sheet of Zhukovski transformation plays an important role in the performance of this kind of conformal cloaks. However, for most proposed schemes, the mathematical calculations are complex. Here, we propose a more convenient method to design conformal cloaks by manipulating structures directly in the physical space. The designed cloak only needs symmetrical metal boundaries filled with normal dielectrics (refractive index ranges from 1 to 2) in the ‘circular branch cut’, which would be more feasible for future experimental implementation. Numerical simulations are performed by using the finite element method to validate our theoretical analysis.