Browsing by Author "Sun, Tsai-Ho"

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Adversarial Colorization Of Icons Based On Structure And Color Conditions
(2019-01-01)
Sun, Tsai-Ho
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Lai, Chien-Hsun
;
Wong, Sai-Keung
;
Wang, Yu-Shuen
;
交大名義發表
We present a system to help designers create icons that are widely used in banners, signboards, billboards, homepages, and mobile apps. Designers are tasked with drawing contours, whereas our system colorizes contours in different styles. This goal is achieved by training a dual conditional generative adversarial network (GAN) on our collected icon dataset. One condition requires the generated image and the drawn contour to possess a similar contour, while the other anticipates the image and the referenced icon to be similar in color style. Accordingly, the generator takes a contour image and a man-made icon image to colorize the contour, and then the discriminators determine whether the result fulfills the two conditions. The trained network is able to colorize icons demanded by designers and greatly reduces their workload. For the evaluation, we compared our dual conditional GAN to several state-of-the-art techniques. Experiment results demonstrate that our network is over the previous networks. Finally, we will provide the source code, icon dataset, and trained network for public use.
ANIMATING PICTURES USING PROCEDURAL 2.5D WATER FLOW SIMULATION
(2017-01-01)
Sun, Tsai-Ho
;
Tseng, Yi-Chun
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Wong, Sai-Keung
;
Chen, Hsuan
;
Tsai, Tsung-Yu
In this paper, we present a procedural 2.5D water flow simulation technique to animate pictures. For a given picture, we convert it into a 2.5D structure and then perform water simulation for the 2.5D structure (like a shallow-relief sculpture). The proposed approach is divided into three phases: image processing, water simulation and rendering. First, we extract the objects in the picture and compute their 2.5D structure based on image processing techniques. Second, a procedural based approach is adopted to simulate water flows over the 2.5D structure. Finally, we apply a simple ray tracer to render final images. Experimental results show that the simulated water flows naturally over the 2.5D structure of the pictures at real time rates. We also printed out the 2.5D structures of the virtual objects as 3D models for visual comparison.