Browsing by Author "Su, Zhiyuan"

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    Fluid Reconstruction and Editing from a Monocular Video based on the SPH Model with External Force Guidance
    (© 2021 Eurographics ‐ The European Association for Computer Graphics and John Wiley & Sons Ltd, 2021) Nie, Xiaoying; Hu, Yong; Su, Zhiyuan; Shen, Xukun; Benes, Bedrich and Hauser, Helwig
    We specifically present a general method for monocular fluid videos to reconstruct and edit 3D fluid volume. Although researchers have developed many monocular video‐based methods, the reconstructed results are merely one layer of geometry surface, lack of accurate physical attributes of fluids, and challenging to edit fluid. We obtain a high‐quality 3D fluid volume by extending the smoothed particle hydrodynamics (SPH) model with external force guidance. For reconstructing fluid, we design target particles that are recovered from the shape from shading (SFS) method and initialize fluid particles that are spatially consistent with target particles. For editing fluid, we translate the deformation of target particles into the 3D fluid volume by merging user‐specified features of interest. Separating the low‐ and high‐frequency height field allows us to efficiently solve the motion equations for a liquid while retaining enough details to obtain realistic‐looking behaviours. Our experimental results compare favourably to the state‐of‐the‐art in terms of global fluid volume motion features and fluid surface details and demonstrate our model can achieve desirable and pleasing effects.
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    Monocular 3D Fluid Volume Reconstruction Based on a Multilayer External Force Guiding Model
    (The Eurographics Association, 2020) Su, Zhiyuan; Nie, Xiaoying; Shen, Xukun; Hu, Yong; Lee, Sung-hee and Zollmann, Stefanie and Okabe, Makoto and Wuensche, Burkhard
    In this paper, we present a monocular 3D fluid volume reconstruction technique that can alleviate challenging parameter tuning while vividly reproducing the inflow and outflow of the video scene. To reconstruct the geometric appearance and 3D motion of the fluid in the video, we propose a multilayer external force guiding model that formulates the effect of target particles on fluid particles. This multilayer model makes the whole 3D fluid volume subject to the shape and motion of the water captured by the input video, so we can avoid tedious and laborious parameter tuning and easily balance the smoothness of the fluid volume and the details of the water surface. Besides, for the inflow and outflow of the 3D fluid volume, we construct a generation and extinction model to add or delete fluid particles according to the 3D velocity field of target particles calculated by a hybrid model of coupling SfS with optical flow. Experiments show that our method compares favorably to the state-of-the-art in terms of reconstruction quality, and is more general to the real-captured fluid. Furthermore, the reconstructed 3D fluid volume can be effectively applied to any desired new scenario.