DC Field | Value | Language |
---|---|---|
dc.contributor.advisor | Noh, Jun Yong | - |
dc.contributor.advisor | 노준용 | - |
dc.contributor.author | Karimi Dastjerdi, Mohammad Reza | - |
dc.date.accessioned | 2021-05-11T19:31:33Z | - |
dc.date.available | 2021-05-11T19:31:33Z | - |
dc.date.issued | 2019 | - |
dc.identifier.uri | http://library.kaist.ac.kr/search/detail/view.do?bibCtrlNo=875214&flag=dissertation | en_US |
dc.identifier.uri | http://hdl.handle.net/10203/282941 | - |
dc.description | 학위논문(석사) - 한국과학기술원 : 문화기술대학원, 2019.8,[iv, 22 p. :] | - |
dc.description.abstract | Cinemagraph is a sequence of still frames which one of the entities in the scene has small movements. The process of making cinemagraph from video has been studied extensively and there are many methods and commercial software available for this problem. However, there are very few research which address the problem of cinemagraph generation from one single static image. In addition, the manual process of generating cinemagraphs from one single static image is tedious and time-consuming. Therefore, automation of this process is necessary. In this research, we presented a novel method based on generative adversarial networks to automate the process of cinemagraph generation from single static image. Our method consists of a two-stage generator and a discriminator. The generator learns foreground, which contains the motion and a mask on how to combine the learned foreground with the input image as the background. The discriminator is responsible for identifying the real data and fake data, which is produced by the generator. Our method achieves the results superior than the state-of-the-art. | - |
dc.language | eng | - |
dc.publisher | 한국과학기술원 | - |
dc.subject | Generative adversarial networks▼acinemagraph▼afuture generation▼aconvolutional neural network▼adeep learning for computer vision | - |
dc.subject | 생성적 적대 신경망▼a시네마그라프▼a미래 영상 생성▼a컨볼루션 신경망▼a컴퓨터 비전을 위한 딥 러닝 | - |
dc.title | Cinemagraph generation from a static image with generative adversarial networks | - |
dc.title.alternative | 생성적 적대 신경망 기반 단일 이미지를 이용한 시네마그라프 생성 | - |
dc.type | Thesis(Master) | - |
dc.identifier.CNRN | 325007 | - |
dc.description.department | 한국과학기술원 :문화기술대학원, | - |
dc.contributor.alternativeauthor | 카리미 다스체르디 모하마드 레자 | - |
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