Image generation from freehand sketches using Diffusion Models
This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science, 2024.
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Brac University
2024
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10361-240552024-09-11T21:02:45Z Image generation from freehand sketches using Diffusion Models Tanvir, Farhan Haque, Md. Fahim Islam, Kazi Rifatul Alam, Md. Ashraful Department of Computer Science and Engineering, Brac University Image generation Diffusion Models Kolmogorov Arnold Network Generative AI Generative art. This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science, 2024. Cataloged from PDF version of thesis. Includes bibliographical references (pages no. 39-42). Significant advancements have been made in the field of image-to-image translation and image synthesis in recent years. Generation of images from sketches is a popular topic in this field. It has many use cases in day-to-day life especially for artists. One useful kind of generative model that has recently come into use for this purpose are diffusion models. In this thesis, we investigate this topic further by developing an efficient approach to generate sufficiently similar images from simple sketch inputs using diffusion models. We utilize a custom Kolmogorov Arnold Network (KAN) based model to provide guidance to a pre-trained diffusion model, so that it generates an image following the input sketch. We also compare our approach with other existing methods and also evaluate their performance. Additionally, we experiment our model with various types of sketch styles containing varying levels of details to demonstrate its robustness. The results show that our method is able to produce images from freehand sketches efficiently. Farhan Tanvir Md. Fahim Haque Kazi Rifatul Islam B.Sc. in Computer Science 2024-09-11T05:26:34Z 2024-09-11T05:26:34Z ©2024 2024-05 Thesis ID 20101387 ID 20101014 ID 20101438 http://hdl.handle.net/10361/24055 en Brac University theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. 42 pages application/pdf Brac University |
institution |
Brac University |
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Institutional Repository |
language |
English |
topic |
Image generation Diffusion Models Kolmogorov Arnold Network Generative AI Generative art. |
spellingShingle |
Image generation Diffusion Models Kolmogorov Arnold Network Generative AI Generative art. Tanvir, Farhan Haque, Md. Fahim Islam, Kazi Rifatul Image generation from freehand sketches using Diffusion Models |
description |
This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science, 2024. |
author2 |
Alam, Md. Ashraful |
author_facet |
Alam, Md. Ashraful Tanvir, Farhan Haque, Md. Fahim Islam, Kazi Rifatul |
format |
Thesis |
author |
Tanvir, Farhan Haque, Md. Fahim Islam, Kazi Rifatul |
author_sort |
Tanvir, Farhan |
title |
Image generation from freehand sketches using Diffusion Models |
title_short |
Image generation from freehand sketches using Diffusion Models |
title_full |
Image generation from freehand sketches using Diffusion Models |
title_fullStr |
Image generation from freehand sketches using Diffusion Models |
title_full_unstemmed |
Image generation from freehand sketches using Diffusion Models |
title_sort |
image generation from freehand sketches using diffusion models |
publisher |
Brac University |
publishDate |
2024 |
url |
http://hdl.handle.net/10361/24055 |
work_keys_str_mv |
AT tanvirfarhan imagegenerationfromfreehandsketchesusingdiffusionmodels AT haquemdfahim imagegenerationfromfreehandsketchesusingdiffusionmodels AT islamkazirifatul imagegenerationfromfreehandsketchesusingdiffusionmodels |
_version_ |
1814308276003667968 |