CS492(D): Diffusion Models and Their Applications

Minhyuk Sung, KAIST, Fall 2024

Programming Assignments

Where to submit: Gradescope

Assignment Links

Assignment1 (DDPM): https://github.com/KAIST-Visual-AI-Group/Diffusion-Assignment1-DDPM
Assignment2 (DDIM / CFG): https://github.com/KAIST-Visual-AI-Group/Diffusion-Assignment2-DDIM-CFG
Assignment3 (ControlNet / LoRA): https://github.com/KAIST-Visual-AI-Group/Diffusion-Assignment3-ControlNet-LoRA
Assignment4 (Distillation): https://github.com/KAIST-Visual-AI-Group/Diffusion-Assignment4-Distillation
Assignment5 (Synchronization): https://github.com/KAIST-Visual-AI-Group/Diffusion-Assignment5-Synchronization
Assignment6 (DPMSolver): https://github.com/KAIST-Visual-AI-Group/Diffusion-Assignment6-DPMSolver
Assignment7 (Flow): https://github.com/KAIST-Visual-AI-Group/Diffusion-Assignment7-Flow

Please carefully review the README of each assignment before you begin and check what you need to submit for each assignment.

Prerequisite

You'll need basic programming skills in PyTorch to complete the programming assignments. We do not provide tutorials on PyTorch, but there are plenty of resources available on the Internet.

The programming assignments are designed as a barometer to assess whether you are prepared for the course project. If you find the programming assignments too challenging, this course might not be the right fit for you.

Computing Resource

We have a limited number of GPUs available in KCLOUD. Only undergraduate students will be assigned one GPU.

KCLOUD Official Tutorial

KCLOUD X11 Forwarding Instructions

AI Coding Assistant Tool Policy

You are allowed (and even encouraged) to utilize AI coding assistant tools, such as ChatGPT, Copilot, Codex, and Code Intelligence, for your programming assignments and projects. Utilizing AI coding assistant tools will not be deemed as plagiarism. However, it is still strictly prohibited to directly copy code from the Internet or from someone else. Doing so will lead to a score of zero and a report to the university.

Grading

Check out the submission guidelines and grading policy of each assignment in the respective GitHub repository.
Late submission: A 20% penalty for each late day.