東華大學圖書館 |

Language: English

Help

回圖書館首頁

手機版館藏查詢

Back

Switch To: Labeled | MARC Mode | ISBD

Machine Learning for Anime: Illustra...

Chen, Shuhong.

Linked to FindBook

Google Book

Amazon

博客來

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

Record Type:	Electronic resources : Monograph/item
Title/Author:	Machine Learning for Anime: Illustration, Animation, and 3D Characters./
Author:	Chen, Shuhong.
Published:	Ann Arbor : ProQuest Dissertations & Theses, : 2024,
Description:	101 p.
Notes:	Source: Dissertations Abstracts International, Volume: 85-12, Section: B.
Contained By:	Dissertations Abstracts International85-12B.
Subject:	Computer science. -
Online resource:	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.
LDR:01788nmm a2200385 4500 001 2401923
005 20241022111607.5
006 m o d
007 cr#unu||||||||
008 251215s2024 ||||||||||||||||| ||eng d
020 $a 9798383180969
035 $a (MiAaPQ)AAI31146933
035 $a AAI31146933
035 $a 2401923
040 $a MiAaPQ $c MiAaPQ
100 1 $a Chen, Shuhong. $0 (orcid)0000-0001-7317-0068 $3 3772141
245 1 0 $a Machine Learning for Anime: Illustration, Animation, and 3D Characters.
260 1 $a Ann Arbor : $b ProQuest Dissertations & Theses, $c 2024
300 $a 101 p.
500 $a Source: Dissertations Abstracts International, Volume: 85-12, Section: B.
500 $a Advisor: Zwicker, Matthias.
502 $a Thesis (Ph.D.)--University of Maryland, College Park, 2024.
520 $a 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.
590 $a School code: 0117.
650 4 $a Computer science. $3 523869
650 4 $a Systems science. $3 3168411
653 $a New vision
653 $a Machine learning
653 $a Anime
653 $a 2D animators
690 $a 0984
690 $a 0800
690 $a 0790
710 2 $a University of Maryland, College Park. $b Computer Science. $3 1018451
773 0 $t Dissertations Abstracts International $g 85-12B.
790 $a 0117
791 $a Ph.D.
792 $a 2024
793 $a English
856 4 0 $u https://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=31146933