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Paper Abstract and Keywords
Presentation 2024-03-05 15:16
A Fundamental Study on 3D CG Image Quality Assessment in Vision & Language Based on Stable Diffusion
Norifumi Kawabata (Kanazawa Gakuin Univ.)
Abstract (in Japanese) (See Japanese page) 
(in English) GPT-4, which is a multimodal large-scale language model, was released on March 14, 2023. GPT-4 is equipped with Transformer, a machine learning model for natural language processing, which trains a large neural network through unsupervised learning, followed by reinforcement learning from human feedback (RLHF) based on human feedback. Although GPT-4 is one of the research achievements in the field of natural language processing (NLP), it is a technology that can be applied not only to natural language generation but also to image generation. However, specifications for GPT-4 have not been made public, therefore it is difficult to use for research purposes. In this study, we first generated an image database by adjusting parameters using Stable Diffusion, which is a deep learning model that is also used for image generation based on text input and images. And then, we carried out experiments to evaluate the image quality from the generated database, and discussed the quality assessment of the image generation model.
Keyword (in Japanese) (See Japanese page) 
(in English) Image Generation AI / Diffusion Model / Vision and Language / image-to-image / Image Quality Assessment / / /  
Reference Info. ITE Tech. Rep., vol. 48, no. 8, AIT2024-115, pp. 288-291, March 2024.
Paper # AIT2024-115 
Date of Issue 2024-02-27 (AIT) 
ISSN Online edition: ISSN 2424-1970
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Conference Information
Conference Date 2024-03-05 - 2024-03-05 
Place (in Japanese) (See Japanese page) 
Place (in English) Tokyo University of Technology 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Expressive Japan 2024 
Paper Information
Registration To AIT 
Conference Code 2024-03-AIT-IIEEJ-AS-ARTS 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) A Fundamental Study on 3D CG Image Quality Assessment in Vision & Language Based on Stable Diffusion 
Sub Title (in English)  
Keyword(1) Image Generation AI  
Keyword(2) Diffusion Model  
Keyword(3) Vision and Language  
Keyword(4) image-to-image  
Keyword(5) Image Quality Assessment  
1st Author's Name Norifumi Kawabata  
1st Author's Affiliation Kanazawa Gakuin University (Kanazawa Gakuin Univ.)
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Speaker Author-1 
Date Time 2024-03-05 15:16:00 
Presentation Time 12 minutes 
Registration for AIT 
Paper # AIT2024-115 
Volume (vol) vol.48 
Number (no) no.8 
Page pp.288-291 
Date of Issue 2024-02-27 (AIT) 

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