metadata
license: apache-2.0
datasets:
- OpenIllumination/OpenIllumination
language:
- en
- ko
pipeline_tag: image-to-image
🔦LightTransporter🚀 (2024 Fall CS492D Final Project)
KAIST 2024 Fall CS492D: Diffusion Models and Their Applications
Introduction
This is a Team03 official repository of the project in the KAIST 2024 Fall CS492D lecture, Diffusion Models and Their Applications.
Dataset
We used OpenIllumination dataset for our project, and LiT project repo for downloading and pre-processing.
The image below shows the environment map of each light condition, which we used to encode the light condition.
Qualitative Results
Each row shows the source, target(ground truth), and generated images from left to right.
Quantitative Results
Team Information
- Junwoo Choi (School of Computing, KAIST)
- Jaeyo Shin (Graduate School of AI, KAIST)
- Dongwon Choi (Graduate School of AI, KAIST)