@article{Li2015, 
author = {Chengyang Li and Jingye Qian and Ruofeng Tong and Jian Chang and Jianjun Zhang},
title = {GPU based real-time simulation of massive falling leaves},
year = {2015},
journal = {Computational Visual Media},
volume = {1},
number = {4},
pages = {351-358},
keywords = {real-time simulation, falling leaves, GPU acceleration},
url = {https://www.sciopen.com/article/10.1007/s41095-015-0025-1},
doi = {10.1007/s41095-015-0025-1},
abstract = {As an important autumn feature, scenes with large numbers of falling leaves are common in movies and games. However, it is a challenge for computer graphics to simulate such scenes in an authentic and efficient manner. This paper proposes a GPU based approach for simulating the falling motion of many leaves in real time. Firstly, we use a motion-synthesis based method to analyze the falling motion of the leaves, which enables us to describe complex falling trajectories using low-dimensional features. Secondly, we transmit a primitive-motion trajectory dataset together with the low-dimensional features of the falling leaves to video memory, allowing us to execute the appropriate calculations on the GPU.}
}