Learning Representation of Secondary Effects for Fire-Flake Animation

Learning Representation of Secondary Effects for Fire-Flake Animation

This paper proposes a new data-driven neural network-based fire-flake simulation model. Our model trains a neural network using precomputed fire simulation data. The trained neural network model generates fire flakes in appropriate locations and infers their velocity to make them appear natural to t...

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Bibliographic Details
Main Authors: Myungjin Choi, Jeong A Wi, Taehyeong Kim, Youngbin Kim, Chang-Hun Kim
Format: Article
Language:English
Published: IEEE 2021-01-01
Series:IEEE Access
Subjects:
Fire-flake simulation
visual effect
visual simulation
machine learning
supervised learning
Online Access:https://ieeexplore.ieee.org/document/9334976/

Internet

https://ieeexplore.ieee.org/document/9334976/

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