View Proposal

Proposer
Chengjia Wang
Title
Finetune large generative models using domain-specific data
Goal
With limited publicly available data adjust the state-of-the-arts generative AI models for 2D image generation with clean background
Description
Modifying the stable diffusion model with its webui for 2D creative design: injecting guidance information, collect simple datasets, evaluate the models.
Resources
Background
Url
Difficulty Level
High
Ethical Approval
None
Number Of Students
2
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 Computing (2 Years)
Master of Science in Data Science
Master of Science in Human Robot Interaction
Master of Science in Information Technology (Software Systems)
Master of Science in Robotics
Master of Science in Software Engineering
Bachelor of Science in Computing Science
Bachelor of Engineering in Robotics
Master of Science in Robotics with Industrial Application
Postgraduate Diploma in Artificial Intelligence
Bachelor of Science in Statistical Data Science
Back to List