View Proposal

Proposer
Chengjia Wang
Title
Zero-shot or few-shot learning for single image to 3D object generation
Goal
Explore, compare, and develop existing single image to 3D generative models
Description
Review existing 2D-to-3D image generation and rendering methods, integrate it to existing stable-diffusion-webui
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 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 Design in Games Design and Development
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
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