Modeling the Diffuse Paintings of ‘Sumie’

Guo, Qinglian; Kunii, Tosiyasu L.

doi:10.1007/978-4-431-68147-2_21

Cited by 53 publications

(25 citation statements)

References 7 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Little research has addressed methods for simulating brush strokes (Lee, 1999;Strassmann, 1986;Wong and Ip, 2000;Yeh et al, 2002;Zhang et al, 1999) and the behavior of ink (Guo and Kunii, 1991;Lee, 2001) in color ink painting (Chu and Tai, 2005). The brush has been modeled as a collection of bristles that move in the course of the stroke.…”

Section: Previous Workmentioning

confidence: 98%

Computer‐generated Chinese color ink paintings

Way¹,

Lin

Shih

2006

Journal of the Chinese Institute of Engineers

View full text Add to dashboard Cite

Chinese color ink painting is a traditional art form, a non-photorealistic rendering, that is over three thousand years old. Simulating the behavior of Chinese ink is challenging. Various artistic effects of color ink diffusion are analyzed, and a scheme presents how they can be simulated automatically for their computer-generated simulation. The proposed method simulates various tonal expressions on different papers, by employing a Kubelka-Munk model to simulate optical effects. Elucidation of the effect of mixing simulated strokes with different brushes is a significant contribution of the proposed method. Finally, results of this study demonstrate the effectiveness of an interactive painting system. Also, results are compared with genuine ink paintings.

show abstract

Section: Previous Workmentioning

confidence: 98%

Computer‐generated Chinese color ink paintings

Way¹,

Lin

Shih

2006

Journal of the Chinese Institute of Engineers

View full text Add to dashboard Cite

show abstract

“…Guo and Kunii [Guo and Kunii 1991] proposed the first model specifically for ink dispersion in paper using particles of different sizes. There also have many other methods to describe the dispersion phenomenon including partial differential equations (PDE) method [Kunii et al 2001] and cellular automation [Zhang et al 1999] method.…”

Section: Related Workmentioning

confidence: 99%

Interactive visual simulation of dynamic ink diffusion effects

Mei

Dong

et al. 2011

Proceedings of the 10th International Conference on Virtual Reality Continuum and Its Applications in Industry

View full text Add to dashboard Cite

Figure 1: An example of ink-made fish animation created with our method. Two fish are swimming in water freely, and the fishtails swing in high speed. Ink flows emit from the fishtails at the same time, then the attractive dynamic ink diffusion effects can be observed. AbstractThis paper presents an effective method that simulates the ink diffusion process with visual plausible effects and real-time performance. Our algorithm updates the dynamic ink volume with a hybrid grid-particle representation: the fluid velocity field is calculated with a low-resolution grid structure, while the highly detailed ink effects are controlled and visualized with the particles. We propose an improved ink rendering method with particle sprites and motion blur techniques. The simulation and the rendering processes are efficiently implemented on graphics hardware for interactive frame rates. Compared to traditional simulation methods that treat water and ink as two mixable fluids, our method is simple but effective: it captures various ink effects such as pinned boundary [Chu and Tai 2005] and filament pattern [Shiny et al. 2010] with real-time performance; it allows easy interaction with the artists; it includes basic solid-fluid interaction. We believe that our method is attractive for industrial animation and art design.

show abstract

“…Besides research on e-brush, some elaborate ink diffusion models have been proposed to simulate different ink spreading effects [34][35][36][37]. Artificial intelligence, fuzzy logic, and knowledge based engineering techniques have been found to be useful in equipping a virtual hairy brush to produce beautiful calligraphic artwork [38][39][40][41][42].…”

Section: Overview Of E-brush and Related Researchmentioning

confidence: 99%

Virtual hairy brush for painterly rendering

Li¹,

Tang²,

Lau³

et al. 2004

Graphical Models

View full text Add to dashboard Cite

We propose a novel ''e-brush'' for calligraphy and painting, which meets all the criteria for a good e-brush. We use only four attributes to capture the essential features of the brush, and a suitably powerful modeling metaphor for its behavior. The e-brushÕs geometry, dynamic motions, and pigment changes are all dealt with in a single model. A single model simplifies the synchronization between the various system modules, thus giving rise to a more stable system, and lower costs. By a careful tradeoff between the complexity of the model and computation efficiency, more elaborate simulation of the e-brushÕs deformation and its recovery for interactive painterly rendering is made possible. We also propose a novel paper-ink model to complement the brushÕs model, and a machine intelligence module to empower the user to easily create beautiful calligraphy and painting. Despite the complexity of the modeling behind the scene, the high-level user interface has a simplistic and friendly design. The final results created by our e-brush can rival the real artwork.

show abstract

Modeling the Diffuse Paintings of ‘Sumie’

Cited by 53 publications

References 7 publications

Computer‐generated Chinese color ink paintings

Computer‐generated Chinese color ink paintings

Interactive visual simulation of dynamic ink diffusion effects

Virtual hairy brush for painterly rendering

Contact Info

Product

Resources

About