Project Page | Video | Paper |
Minseok Seo,
Hakjin Lee,
Doyi Kim,
Junghoon Seo,
SI Analytics
(This is not included in our report. prediction +10 hours)
scikit-image==0.16.1
sh data/moving_mnist/download_mmnist.sh
python3 main.py
(We are in the process of reproducing the performance by running the refactored code and updating ckpt.)
| Dataset | Epoch | MSE | Weight |
|---|---|---|---|
| Moving MNIST | 100 | 31.04 | ckpt |
| Moving MNIST | 200 | 27.04 | ckpt |
| Moving MNIST | 300 | 24.92 | ckpt |
| Moving MNIST | 400 | 23.56 | ckpt |
| Moving MNIST | 500 | 22.57 | ckpt |
| Moving MNIST | 600 | 21.67 | ckpt |
| Moving MNIST | 800 | 20.50 | ckpt |
| Moving MNIST | 1,000 | 19.53 | ckpt |
| Moving MNIST | 1,300 | 18.57 | ckpt |
| Moving MNIST | 1,500 | 18.03 | ckpt |
| Moving MNIST | 2,000 | 17.20 (paper:16.9) | ckpt |
IAM4VP web deomo available at https://ovision.ai/ [it will plan 2023.08.01]
This code is heavily based on SimVP.
We thank the authors of that code.

