• Title/Summary/Keyword: Real Style

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Real-time Style Transfer for Video (실시간 비디오 스타일 전이 기법에 관한 연구)

  • Seo, Sang Hyun
    • Smart Media Journal
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    • v.5 no.4
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    • pp.63-68
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    • 2016
  • Texture transfer is a method to transfer the texture of an input image into a target image, and is also used for transferring artistic style of the input image. This study presents a real-time texture transfer for generating artistic style video. In order to enhance performance, this paper proposes a parallel framework using T-shape kernel used in general texture transfer on GPU. To accelerate motion computation time which is necessarily required for maintaining temporal coherence, a multi-scaled motion field is proposed in parallel concept. Through these approach, an artistic texture transfer for video with a real-time performance is archived.

Impact of Test routes and Driving style on NOx emissions of Light-Duty Diesel Vehicle over Real Driving Emissions test (승용 경유 차량의 실제도로 주행 배출가스 시험에서 주행 경로와 운전 성향이 질소산화물에 미치는 영향)

  • Yu, Young Soo;Jeong, Jun Woo;Chon, Mun Soo;Cha, Junepyo
    • Journal of ILASS-Korea
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    • v.24 no.2
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    • pp.73-81
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    • 2019
  • It is expected that the introduction of real-driving emission will strengthen the exhaust emission. However, various researches have been reported that real-driving emission has been influenced by factors such as characteristics of the test routes and driving characteristics for drivers. In order to reflect this effect, European Commission applied the concept of driving dynamics to prevent deliberately driving of excessive and acceleration over RDE test. The purpose of this study is to analyze the characteristics of exhaust emissions according to real-driving test in three test routes and driving style. As a result of the test, it was confirmed that when the same driver tested real-driving test under three test routes, it depends on the driving characteristics of the route. Also, RDE-NOx for driving style was that severe driving has been about 16 times higher than normal driving in KNUT route.

Environment-Adaptive and Real-Time Rendering of Fluids for Cartoon Style Game (카툰 스타일 게임을 위한 환경 적응적 실시간 유체 렌더링)

  • Kim, Kwang-Tae;Park, Kyoung-Ju
    • Journal of Korea Game Society
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    • v.12 no.5
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    • pp.57-66
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    • 2012
  • This paper to the scene to fit the fluid can be expressed as cartoon-style real-time method is proposed. As a matter of fact the fluid color in the simulation in which both reflection refraction and color tones are different in both cases. This paper light, water, terrain, time, etc. with cartoon-style representation of the fluid, adaptive way is proposed. Experimental implementation of the existing and proposed methods were compared with the results. This cartoon-style rendering of the existing research methods and the proposed method and at the same time using cartoon-style games that can be represented by the entire system could offer.

Comic-Book Style Rendering for Game (게임을 위한 코믹북 스타일 렌더링)

  • Kim, Tae-Gyu;Oh, Gyu-Hwan;Lee, Chang-Shin
    • Journal of Korea Game Society
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    • v.7 no.4
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    • pp.81-92
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    • 2007
  • Nowadays, many computer games based on NPR(Non-photorealistic Rendering) techniques have been developed due to their distinctive visual properties. However, only limited methods of NPR techniques have been exploited in producing computer games and amongst them cartoon-style rendering techniques especially has had the special interest. In the paper, we suggest an effective rendering method of comic-book style that will be applicable to computer game. In order to do, we first characterize the properties of comic-book from comparing two visuals: celluloid animation and comic-book. We then suggest a real-time rendering method of comic-book style represented by outline sketch, tone, and hatching. We finally examine its effectiveness by observing the game developed using the method.

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A Study for Generation of Artificial Lunar Topography Image Dataset Using a Deep Learning Based Style Transfer Technique (딥러닝 기반 스타일 변환 기법을 활용한 인공 달 지형 영상 데이터 생성 방안에 관한 연구)

  • Na, Jong-Ho;Lee, Su-Deuk;Shin, Hyu-Soung
    • Tunnel and Underground Space
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    • v.32 no.2
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    • pp.131-143
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    • 2022
  • The lunar exploration autonomous vehicle operates based on the lunar topography information obtained from real-time image characterization. For highly accurate topography characterization, a large number of training images with various background conditions are required. Since the real lunar topography images are difficult to obtain, it should be helpful to be able to generate mimic lunar image data artificially on the basis of the planetary analogs site images and real lunar images available. In this study, we aim to artificially create lunar topography images by using the location information-based style transfer algorithm known as Wavelet Correct Transform (WCT2). We conducted comparative experiments using lunar analog site images and real lunar topography images taken during China's and America's lunar-exploring projects (i.e., Chang'e and Apollo) to assess the efficacy of our suggested approach. The results show that the proposed techniques can create realistic images, which preserve the topography information of the analog site image while still showing the same condition as an image taken on lunar surface. The proposed algorithm also outperforms a conventional algorithm, Deep Photo Style Transfer (DPST) in terms of temporal and visual aspects. For future work, we intend to use the generated styled image data in combination with real image data for training lunar topography objects to be applied for topographic detection and segmentation. It is expected that this approach can significantly improve the performance of detection and segmentation models on real lunar topography images.

Color Analysis of Avatar fashion style from on-line portal sites

  • Kim, Ri-Ra;Kim, Young-In
    • International Journal of Costume and Fashion
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    • v.8 no.2
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    • pp.50-64
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    • 2008
  • The purpose of this study is to classify Avatar fashion style through analysis of on-line Avatar Mall and to propose color pallette and fashion contents from fashion color analysis. The literature research focused on investigating the notion, characters and types of Avatar and relation of Avatar and self-image, clothing image and color image. In data research, 4 on-line portal sites Avatar Malls were analyzed and Avatar fashion style was classified. In addition, Avatar clothing color was analyzed. The research of this study are as follows: Firstly, Avatar in the cyber space represents 'me' of the real states. Avatar fashion helps to represent Avatar Image and clothing makes human image and identity as a social sign. Color helps to constitute clothing impression and human image, therefore clothing and color are the important elements to express self-image through Avatar in the cyber space. Secondly, Avatar Malls of 4 on-line portal sites are very similar and confuse Avatar users because of no standard of fashion style classification. Accordingly, the standard of fashion style classification should be made by a fashion expert, and the specific characters of every on-line portal site should be emphasized. Thirdly, as a result of the analysis of Avatar's clothing, the clothing is divided into a real world clothing and an imaginary world clothing. There are daily clothes, uniform, event clothes, story clothes and fantasy clothes. As a result of the color analysis of Avatar clothing, White, Red, Red Purple colors and bright and vivid tone are generally used for Avatar clothing. This study is significant to classify Avatar fashion style systematically, to notify sensitive and delicate users' sign and to make Avatar fashion image emotional and high-quality.

Data Augmentation Effect of StyleGAN-Generated Images in Deep Neural Network Training for Medical Image Classification (의료영상 분류를 위한 심층신경망 훈련에서 StyleGAN 합성 영상의 데이터 증강 효과 분석)

  • Hansang Lee;Arha Woo;Helen Hong
    • Journal of the Korea Computer Graphics Society
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    • v.30 no.4
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    • pp.19-29
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    • 2024
  • In this paper, we examine the effectiveness of StyleGAN-generated images for data augmentation in training deep neural networks for medical image classification. We apply StyleGAN data augmentation to train VGG-16 networks for pneumonia diagnosis from chest X-ray images and focal liver lesion classification from abdominal CT images. Through quantitative and qualitative analyses, our experiments reveal that StyleGAN data augmentation expands the outer class boundaries in the feature space. Thanks to this expansion characteristics, the StyleGAN data augmentation can enhance classification performance when properly combined with real training images.

A Theoretical Approach to Oriental Ecological Philosophy for Orthodoxy Korean Thought-Based Environmental Education -Regional Communality and Restoration of People's Real Life- (우리식 환경교과 구성을 위한 기초이론 연구 -지역 공동체성과 생활세계의 복원을 중심으로-)

  • 김태경
    • Hwankyungkyoyuk
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    • v.15 no.2
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    • pp.30-48
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    • 2002
  • This study is on theoretical foundation for orthodoxy korean style Environmental Education based on oriental ecological thought. The main theme is that various kinds of all the ideas related with ecological thought based on oriental thoughts for EE should be focused into Moderation, the core-concept of oriental confuscian thoughts. The Moderation has not meant just a personal enlightenment, as it has known to general people, it can be developed into social status core-consciousness for regulating the natural resource. So we should focus on this conceptual developing mechanism personal enlightenment into social status for our orthodoxy konean style EE. It can be infered from Taoism, Confuscionism Buddism, especially, Anxiety Consciousness (WOOHWAN) for grand-scale anxiety to public society and universal cosmos. And also I drawed Harbermas-philosophy to provide good means for fortifying this research. His communication theory and restoration of real life for public people communication can be connected to oriental thoughts in the aspect of reciprocative response among the community people. So our orthodoxy korean style EE can be erected on the community-based regionality and their public communication through reciprocative response process. We should try to make this surrounding conditions nature-familiar oriental philosophy has provided from ancient times in the aspect all the traditional thought has been eco-deterministic.

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Study of Hippy style in 1960s France (60년대 불란서 히피복식에 관한 연구)

  • 이인성
    • Journal of the Korean Home Economics Association
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    • v.35 no.6
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    • pp.1-13
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    • 1997
  • Hipp8ie style was introduced in 1960s when young generation's movement against industrial society and mass culture was spread. Its value was to go back to "Real and Pure Nature". Hippie originated from "Human Be-in" which was on-violent revolution held in sanfrancisco. American Hippie style was represented through freedom and love based on drug and psychedelic culture which were created by the young generation who were against traditional esthetic value as well as the moral and material value. However, Hippie style was represented differently in France. The privilege classes such as artists who were interested in surrealism, art negro and primitive culture, the intelligentsia like Montparnass in Paris, accepted Hippie style faster than ordinary people did. therefor, Hippie style in france was represented as an esthetic mode not a symbol of anti-culture and anti-policy. The general public imitated the style of the privileged classes and coordinated their style according to their personality without any standard such as blue jeans, ethnic, psychedelic, mini, mods, beatnik, etc. Yves Saint Laurent who was influenced by hippies led the mode of Paris to introduce "Africa", "Saharienne", "Pathwork". therefore, in 1960's fashion in Paris, everything was possible because of too many changes in fashion and refusal of accepting vogue.

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A study of interior style transformation with GAN model (GAN을 활용한 인테리어 스타일 변환 모델에 관한 연구)

  • Choi, Jun-Hyeck;Lee, Jae-Seung
    • Journal of KIBIM
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    • v.12 no.1
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    • pp.55-61
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    • 2022
  • Recently, demand for designing own space is increasing as the rapid growth of home furnishing market. However, there is a limitation that it is not easy to compare the style between before construction view and after view. This study aims to translate real image into another style with GAN model learned with interior images. To implement this, first we established style criteria and collected modern, natural, and classic style images, and experimented with ResNet, UNet, Gradient penalty concept to CycleGAN algorithm. As a result of training, model recognize common indoor image elements, such as floor, wall, and furniture, and suitable color, material was converted according to interior style. On the other hand, the form of furniture, ornaments, and detailed pattern expressions are difficult to be recognized by CycleGAN model, and the accuracy lacked. Although UNet converted images more radically than ResNet, it was more stained. The GAN algorithm allowed us to represent results within 2 seconds. Through this, it is possible to quickly and easily visualize and compare the front and after the interior space style to be constructed. Furthermore, this GAN will be available to use in the design rendering include interior.