Two-Stage Sketch-Based Smoke Illustration Generation using Stream Function

Fuente: arXiv
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Hauptverfasser: Chang, Hengyuan, Xie, Xiaoxuan, Sato, Syuhei, Xie, Haoran
Format: Preprint
Veröffentlicht: 2025
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author Chang, Hengyuan
Xie, Xiaoxuan
Sato, Syuhei
Xie, Haoran
author_facet Chang, Hengyuan
Xie, Xiaoxuan
Sato, Syuhei
Xie, Haoran
contents In this paper, we propose a two-stage sketch-based smoke illustration generation framework using stream function and latent diffusion models (LDM). The user sketch is used to guide the generation of the stream function, which serves as the control condition for the velocity field generator. The generated velocity field can be used to guide the smoke simulation to align with the intended flow. We adopt streamlines to encode global flow dynamics as sketch guidance during training. The stream function constitutes the intermediate representation that captures continuous variation and rotational flow details absent from sketches.
format Preprint
id arxiv_https___arxiv_org_abs_2510_15873
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle Two-Stage Sketch-Based Smoke Illustration Generation using Stream Function
Chang, Hengyuan
Xie, Xiaoxuan
Sato, Syuhei
Xie, Haoran
Graphics
In this paper, we propose a two-stage sketch-based smoke illustration generation framework using stream function and latent diffusion models (LDM). The user sketch is used to guide the generation of the stream function, which serves as the control condition for the velocity field generator. The generated velocity field can be used to guide the smoke simulation to align with the intended flow. We adopt streamlines to encode global flow dynamics as sketch guidance during training. The stream function constitutes the intermediate representation that captures continuous variation and rotational flow details absent from sketches.
title Two-Stage Sketch-Based Smoke Illustration Generation using Stream Function
topic Graphics
url https://arxiv.org/abs/2510.15873