Automated colorization of animated characters

This project undertakes the task of automating colorization in animations by exploring Frame-by-Frame Prediction Models and T-pose Reference-based Prediction approaches. Emphasizing the imperatives of reducing manual labor burden on Digital Painters, the study advocates for the adoption of innovativ...

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Main Author: Lin, Jiajun
Other Authors: Chen Change Loy
Format: Final Year Project
Language:English
Published: Nanyang Technological University 2024
Subjects:
Online Access:https://hdl.handle.net/10356/175784
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Institution: Nanyang Technological University
Language: English
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spelling sg-ntu-dr.10356-1757842024-05-10T15:40:43Z Automated colorization of animated characters Lin, Jiajun Chen Change Loy School of Computer Science and Engineering ccloy@ntu.edu.sg Computer and Information Science This project undertakes the task of automating colorization in animations by exploring Frame-by-Frame Prediction Models and T-pose Reference-based Prediction approaches. Emphasizing the imperatives of reducing manual labor burden on Digital Painters, the study advocates for the adoption of innovative frameworks. The analysis delves into Frame-by-Frame Prediction Models, analysing performance of Segment Matching and Optical Flow through RAFT, each presenting its own merits and drawbacks. Additionally, image segmentation models, including PSANet and PSPNet, are investigated for possible integration into Segment Matching Models to achieve T-pose Reference-based Prediction. Moving forward, further research and development are crucial to enhance image segmentation methods and seamlessly integrate them into colorization workflows, ushering in automation in animation production. Bachelor's degree 2024-05-07T01:23:25Z 2024-05-07T01:23:25Z 2024 Final Year Project (FYP) Lin, J. (2024). Automated colorization of animated characters. Final Year Project (FYP), Nanyang Technological University, Singapore. https://hdl.handle.net/10356/175784 https://hdl.handle.net/10356/175784 en application/pdf Nanyang Technological University
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
language English
topic Computer and Information Science
spellingShingle Computer and Information Science
Lin, Jiajun
Automated colorization of animated characters
description This project undertakes the task of automating colorization in animations by exploring Frame-by-Frame Prediction Models and T-pose Reference-based Prediction approaches. Emphasizing the imperatives of reducing manual labor burden on Digital Painters, the study advocates for the adoption of innovative frameworks. The analysis delves into Frame-by-Frame Prediction Models, analysing performance of Segment Matching and Optical Flow through RAFT, each presenting its own merits and drawbacks. Additionally, image segmentation models, including PSANet and PSPNet, are investigated for possible integration into Segment Matching Models to achieve T-pose Reference-based Prediction. Moving forward, further research and development are crucial to enhance image segmentation methods and seamlessly integrate them into colorization workflows, ushering in automation in animation production.
author2 Chen Change Loy
author_facet Chen Change Loy
Lin, Jiajun
format Final Year Project
author Lin, Jiajun
author_sort Lin, Jiajun
title Automated colorization of animated characters
title_short Automated colorization of animated characters
title_full Automated colorization of animated characters
title_fullStr Automated colorization of animated characters
title_full_unstemmed Automated colorization of animated characters
title_sort automated colorization of animated characters
publisher Nanyang Technological University
publishDate 2024
url https://hdl.handle.net/10356/175784
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