Ink Wash Painting Style Rendering With Physically-based Ink Dispersion Model

Wang, Yifan; Li, Weiran; Zhu, Qing

doi:10.1088/1742-6596/1004/1/012026

Cited by 5 publications

(5 citation statements)

References 2 publications

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“…The specular reflection model is an important part of the 3D ink rendering software, which can make the picture appear clear and realistic, and it can be adjusted according to the actual situation. Its specific applications are: (1) the color image processing process is realized through specular reflection imaging technology; (2) the design and drawing of all patterns and lines in the 3D ink rendering system can be completed using this model; the design and drawing of all patterns in the 3D ink rendering system can be completed using this model; the interconversion between 3D scenes and color effects can be realized using this modeling method.…”

Section: Lighting Modelmentioning

confidence: 99%

“…As the virtual world in the Internet environment has a high degree of complexity and openness, which makes it a huge impact on the human eye; secondly, the amount of information is now huge and complex and diverse; furthermore, the characteristics of fast, wide range of information dissemination and strong timeliness also increase the difficulty of data storage. These have increased the risk and challenges of multimedia technology applications in the network, which brings a certain degree of economic loss to enterprises and even lead to some serious consequences [1]. Therefore, in the current network environment, it is important to strengthen the research and application of 3D ink rendering technology.…”

Section: Introductionmentioning

confidence: 99%

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Analysis of the Rendering of Deep and Short Art Effects Under the Multimedia Background Taking into Account the 3D Ink Rendering Algorithm

Zhong

2024

jes

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People's living standard is improving and the economy is developing rapidly, so the demand for spiritual culture is also increasing. Today, with the rapid development of information technology, 3D ink rendering technology has become an indispensable part of modern art. It is not only a visual expression and tool, but also has a great impact on people's daily life. It is based on computer language and multimedia software. Its main purpose is to express art through images, sound and text; it can also integrate various complex and creative elements to form a whole picture, thus giving the whole picture a certain sense of hierarchy. This will give people an intuitive and strong visual feeling, thus achieving the purpose of "visual communication". In 3D ink rendering technology, image processing and sound effects are the two most important aspects. Among them, there is a certain correlation between digital works and text and other multimedia contexts with strong and far-reaching art effects rendering; and the impact of color and sound effects on 3D scenes should not be ignored: from the overall perspective, the sense of picture and enhanced visual effects can enhance the virtual reality space atmosphere and enrich the visual experience; but from the specific content, this may reduce the efficiency of the rendering process. In this paper, we start from the principle of ink rendering algorithm and analyze its impact on the picture effect and color processing in combination with 3D ink rendering technology.

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Section: Lighting Modelmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Analysis of the Rendering of Deep and Short Art Effects Under the Multimedia Background Taking into Account the 3D Ink Rendering Algorithm

Zhong

2024

jes

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“…The physical modeling methods are mainly completed by physical analysis of the brush, paper, and ink diffusion effects, etc., and then establishing suitable models, while the non-physical simulation methods mainly refer to the non-photorealistic graph generation algorithms. Wang et al [4] presented a real-time rendering method based on the GPU programmable pipeline for rendering the 3D scene in the ink-wash painting style. They used an ink dispersion model which was defined by referencing the theory of porous media to simulate the dispersion of ink.…”

Section: Releated Workmentioning

confidence: 99%

Detail-Preserving CycleGAN-AdaIN Framework for Image-to-Ink Painting Translation

2020

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Image translation tasks based on generative models have become an important research area, such as the general framework for unsupervised image translation-CycleGAN (Cycle-Consistent Generative Adversarial Networks). A typical advantage of CycleGAN is that it can realize the training of two image sets without pairing, but there are still some problems in the preservation of semantic information and the learning of specific features. In this paper, we propose the CycleGAN-AdaIN framework based on the CycleGAN model, which can translate real photos into Chinese ink paintings. In order to retain the content of the image completely, we use one cycle consistency loss to replace two in the structure of the model. To learn the style information of the ink painting, we introduce an AdaIN (Adaptive Instance Normalization) module before the decoding process of the generation network. In addition, to correct the details of the generated image, we add the MS-SSIM (Multi-Scale-Structural Similarity Index) loss in the reconstruction loss to generate a higher quality image. Compared with the existing methods in FID, Kernel MMD, PSNR and SSIM, the experiment results show that our method can accomplish the task of transferring real photos to ink paintings and get better performance than the baseline model.

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“…Traditional methods are divided into physical modeling and non-photorealistic rendering. Physical modeling is mainly used to establish a suitable model by analyzing the brush strokes, paper, and ink diffusion [2][3][4]. However, modeling based on physical characteristics is complex and difficult to use to simulate an entire painting.…”

Section: Introductionmentioning

confidence: 99%

“…And then, the SA-ResBlock is constructed, which can better capture the main features of landscape photos and effectively extract the detailed features of photos. (2) In order to solve the problem of poor style transfer and ensure a generated landscape painting with a similar style to the target landscape painting, the pre-trained VGG is used to extract the content and style features to calculate the perceptual loss. (3) In order to solve the problem of blurred outlines, the Canny edge detection is used to generate edge maps.…”

Section: General Introduction Of Paint-cutmentioning

confidence: 99%

Paint-CUT: A Generative Model for Chinese Landscape Painting Based on Shuffle Attentional Residual Block and Edge Enhancement

Sun,

Li,

2024

Applied Sciences

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As one of the precious cultural heritages, Chinese landscape painting has developed unique styles and techniques. Researching the intelligent generation of Chinese landscape paintings from photos can benefit the inheritance of traditional Chinese culture. To address detail loss, blurred outlines, and poor style transfer in present generated results, a model for generating Chinese landscape paintings from photos named Paint-CUT is proposed. In order to solve the problem of detail loss, the SA-ResBlock module is proposed by combining shuffle attention with the resblocks in the generator, which is used to enhance the generator’s ability to extract the main scene information and texture features. In order to solve the problem of poor style transfer, perceptual loss is introduced to constrain the model in terms of content and style. The pre-trained VGG is used to extract the content and style features to calculate the perceptual loss and, then, the loss can guide the model to generate landscape paintings with similar content to landscape photos and a similar style to target landscape paintings. In order to solve the problem of blurred outlines in generated landscape paintings, edge loss is proposed to the model. The Canny edge detection is used to generate edge maps and, then, the edge loss between edge maps of landscape photos and generated landscape paintings is calculated. The generated landscape paintings have clear outlines and details by adding edge loss. Comparison experiments and ablation experiments are performed on the proposed model. Experiments show that the proposed model can generate Chinese landscape paintings with clear outlines, rich details, and realistic style. Generated paintings not only retain the details of landscape photos, such as texture and outlines of mountains, but also have similar styles to the target paintings, such as colors and brush strokes. So, the generation quality of Chinese landscape paintings has improved.

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Ink Wash Painting Style Rendering With Physically-based Ink Dispersion Model

Cited by 5 publications

References 2 publications

Analysis of the Rendering of Deep and Short Art Effects Under the Multimedia Background Taking into Account the 3D Ink Rendering Algorithm

Analysis of the Rendering of Deep and Short Art Effects Under the Multimedia Background Taking into Account the 3D Ink Rendering Algorithm

Detail-Preserving CycleGAN-AdaIN Framework for Image-to-Ink Painting Translation

Paint-CUT: A Generative Model for Chinese Landscape Painting Based on Shuffle Attentional Residual Block and Edge Enhancement

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