Y. Tsuji, Y. Yatagawa, H. Kubo, and S. Morishima, "Event-based Camera Simulation using Monte Carlo Path Tracing with Adaptive Denoising," In Proceedings of the IEEE International Conference on Image Processing, 2023. (to appear) [Preprint]
Prepare virtualenv using Poetry.
# Install required modules
poetry install --no-dev
# Enable Poetry's virtualenv
poetry shell
- SanMiguel: https://drive.google.com/file/d/1B8Juxd1llp__96dWlXDegZ-YuBRj27rc/view?usp=share_link
- TwoBoxes: https://drive.google.com/file/d/1XWpIgi9oR5SpYOAm_1CbnvixrfL42HdK/view?usp=drive_link
- LivingRoom: https://drive.google.com/file/d/1prC6BAMmmqR0TJklhVbuiB3BnrlXJS4y/view?usp=drive_link
Then, unzip the archive and store in the data
folder. If the data is sanmiguel
, four subdirectories (i.e., 32spp
, 64spp
, 128spp
, and 4096spp
) will be stored in data/sanmiguel
.
# To reproduce our results in the paper, run the following.
python main.py --data_root /path/to/data --spp 32 --ksize 13 --wlr simple --thres 1.00
The default parameters used to generate the following results are shown in run.sh
. After running the above code, you can visually compare our method with other baselines with analysis.ipynb
in the notebooks
folder.
LivingRoom-comp.mp4
SanMiguel-comp.mp4
TwoBoxes-comp.mp4
Note that the above videos are compressed to fit the 10MB file size limit of GitHub. You can find uncompressed ones in the following URL:
https://drive.google.com/file/d/1hPtCmBYmo7h-aczLSPVK8ZIK8_sUJ4nW/view?usp=share_link
Also, you can find the quantitative comparisons in the supplementary document in the following URL:
https://drive.google.com/file/d/1gJsuApMHOO-PPWweZ849QaGdr0OQsjyl/view?usp=share_link
This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.
(c) Yuta Tsuji, Tatsuya Yatagawa, Hiroyuki Kubo, and Shigeo Morishima.