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Machine Learning for Anime: Illustra...

Chen, Shuhong.

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Machine Learning for Anime: Illustration, Animation, and 3D Characters.

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Machine Learning for Anime: Illustration, Animation, and 3D Characters./
作者:	Chen, Shuhong.
出版者:	Ann Arbor : ProQuest Dissertations & Theses, : 2024,
面頁冊數:	101 p.
附註:	Source: Dissertations Abstracts International, Volume: 85-12, Section: B.
Contained By:	Dissertations Abstracts International85-12B.
標題:	Computer science. -
電子資源:	https://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=31146933
ISBN:	9798383180969

Machine Learning for Anime: Illustration, Animation, and 3D Characters.
Chen, Shuhong.

Machine Learning for Anime: Illustration, Animation, and 3D Characters. - Ann Arbor : ProQuest Dissertations & Theses, 2024 - 101 p.

Source: Dissertations Abstracts International, Volume: 85-12, Section: B.

Thesis (Ph.D.)--University of Maryland, College Park, 2024.

As anime-style content becomes more popular on the global stage, we ask whether new vision/graphics techniques could contribute to the art form. However, the highly-expressive and non-photorealistic nature of anime poses additional challenges not addressed by standard ML models, and much of the existing work in the domain does not align with real artist workflows. In this dissertation defense, we will present several works building foundational 2D/3D infrastructure for ML in anime (including pose estimation, video frame interpolation, and 3D character reconstruction) as well as an interactive tool leveraging novel techniques to assist 2D animators.

ISBN: 9798383180969Subjects--Topical Terms:

523869
Computer science.
Subjects--Index Terms:

New vision

Machine Learning for Anime: Illustration, Animation, and 3D Characters.
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