“FluidsFormer: A Transformer-Based Approach for Continuous Fluid Interpolation” by Roy
Conference:
Type(s):
Title:
- FluidsFormer: A Transformer-Based Approach for Continuous Fluid Interpolation
Session/Category Title: Animation & Simulation
Presenter(s)/Author(s):
Abstract:
Given input keyframes, FluidsFormer interpolates substeps of a fluid simulation, resulting in a smooth and realistic animation.
References:
[1]
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[2]
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[3]
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[4]
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[5]
Zherong Pan, Jin Huang, Yiying Tong, Changxi Zheng, and Hujun Bao. 2013. Interactive localized liquid motion editing. ACM Transactions on Graphics (TOG) 32, 6 (2013), 1?10.
[6]
Bruno Roy, Pierre Poulin, and Eric Paquette. 2021. Neural upflow: A scene flow learning approach to increase the apparent resolution of particle-based liquids. Proceedings of the ACM on Computer Graphics and Interactive Techniques 4, 3 (2021), 1?26.
[7]
Syuhei Sato, Yoshinori Dobashi, and Tomoyuki Nishita. 2018. Editing fluid animation using flow interpolation. ACM Transactions on Graphics (TOG) 37, 5 (2018), 1?12.
