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Proposer
Chengjia Wang
Title
AIGC fashion design based on state-of-the-arts generative models and/or image-to-3D algorithm with GUI design
Goal
Build AI-aided fashion design software by finetuning open source generative models with a GUI
Description
Tasks distributed to 4 students: 1. Dataset collection, diffusion model finetuning, model evaluation 2. Inject guidence information to 2D diffusion model and compare the guided model to the unguided ones, simple 2D GUI deisgn by modifying SD WebUI 3. Implement and explore algorithms for image-to-3D rendering, model evaluation, simple 3D GUI deisgn by modifying 3D WebUI 4. AIGC model comparison, workflow optimization, evaluation of diffusion models
Resources
Stable Diffusion WebUI
Background
Url
Difficulty Level
High
Ethical Approval
None
Number Of Students
4
Supervisor
Chengjia Wang
Keywords
ai, aigc, stable diffusion, machine learning, generative model, creative, fashion design
Degrees
Bachelor of Science in Computer Science
Bachelor of Science in Computer Systems
Bachelor of Science in Information Systems
Bachelor of Science in Software Development for Business (GA)
Master of Engineering in Software Engineering
Master of Science in Artificial Intelligence
Master of Science in Artificial Intelligence with SMI
Master of Science in Computer Systems Management
Master of Science in Computing (2 Years)
Master of Science in Data Science
Master of Science in Human Robot Interaction
Master of Science in Robotics
Master of Science in Software Engineering
Bachelor of Science in Computing Science
Bachelor of Engineering in Robotics
Postgraduate Diploma in Artificial Intelligence
Bachelor of Science in Statistical Data Science