Real-time AI model interaction and visualization

This Final Year Project focuses on the design and development of a 3-dimensional Lookup Table (3D LUT) service to extract colour mapping and transform colours of an original image to a new set of colours. This service was integrated into a platform called Image-Pro, developed by a team of resea...

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Main Author: Ryu, Hyunsun
Other Authors: Chen Change Loy
Format: Final Year Project
Language:English
Published: Nanyang Technological University 2024
Subjects:
AI
Online Access:https://hdl.handle.net/10356/181074
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Institution: Nanyang Technological University
Language: English
id sg-ntu-dr.10356-181074
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spelling sg-ntu-dr.10356-1810742024-11-13T08:41:41Z Real-time AI model interaction and visualization Ryu, Hyunsun Chen Change Loy College of Computing and Data Science S-Lab for Advanced Intelligence ccloy@ntu.edu.sg Computer and Information Science AI Web application Computer vision Automatic photo enhancement This Final Year Project focuses on the design and development of a 3-dimensional Lookup Table (3D LUT) service to extract colour mapping and transform colours of an original image to a new set of colours. This service was integrated into a platform called Image-Pro, developed by a team of research engineers at S-Lab, a research laboratory dedicated to research and development of innovative AI technologies in fields such as computer vision, deep learning, natural language processing, and more. Image-Pro aims to provide a user-friendly interface to utilise AI model services as well as traditional image editing tools in a single interface. This report aims to delve into 3D LUT, as well as a comprehensive overview of the software development life cycle of the project, which includes requirements analysis, user interface design, implementation, testing and deployment. Bachelor's degree 2024-11-13T08:41:41Z 2024-11-13T08:41:41Z 2024 Final Year Project (FYP) Ryu, H. (2024). Real-time AI model interaction and visualization. Final Year Project (FYP), Nanyang Technological University, Singapore. https://hdl.handle.net/10356/181074 https://hdl.handle.net/10356/181074 en SCSE23-1091 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
AI
Web application
Computer vision
Automatic photo enhancement
spellingShingle Computer and Information Science
AI
Web application
Computer vision
Automatic photo enhancement
Ryu, Hyunsun
Real-time AI model interaction and visualization
description This Final Year Project focuses on the design and development of a 3-dimensional Lookup Table (3D LUT) service to extract colour mapping and transform colours of an original image to a new set of colours. This service was integrated into a platform called Image-Pro, developed by a team of research engineers at S-Lab, a research laboratory dedicated to research and development of innovative AI technologies in fields such as computer vision, deep learning, natural language processing, and more. Image-Pro aims to provide a user-friendly interface to utilise AI model services as well as traditional image editing tools in a single interface. This report aims to delve into 3D LUT, as well as a comprehensive overview of the software development life cycle of the project, which includes requirements analysis, user interface design, implementation, testing and deployment.
author2 Chen Change Loy
author_facet Chen Change Loy
Ryu, Hyunsun
format Final Year Project
author Ryu, Hyunsun
author_sort Ryu, Hyunsun
title Real-time AI model interaction and visualization
title_short Real-time AI model interaction and visualization
title_full Real-time AI model interaction and visualization
title_fullStr Real-time AI model interaction and visualization
title_full_unstemmed Real-time AI model interaction and visualization
title_sort real-time ai model interaction and visualization
publisher Nanyang Technological University
publishDate 2024
url https://hdl.handle.net/10356/181074
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