T-Net

---

This is the PyTorch implementation for our paper:

T-Net: Deep Stacked Scale-Iteration Network for Image Dehazing

Environment

---

• python >= 3.6
• pytorch >= 1.0
• torchvision >= 0.2.2
• pillow >= 5.1.0
• numpy >=1.14.3
• scipy >= 1.1.0
• skitch-image >= 0.15.0

Training

---

• Dataset Google drive: https://drive.google.com/file/d/19pwuhQd1yBgA939AjbXTdkoZ91yiD4Kw/view?usp=sharing
• Tarin Stack T-Net:

$ python trian.py -recurrent_iter 3 -updown_pairs 4 -rdb_pairs 3

Test on synthetic data

---

• Dataset Google drive: https://drive.google.com/file/d/17KaYJXKkLU-5my7HUvEoTSREzzoyTAP7/view?usp=sharing
• Test Stack T-Net:

$ python test.py -recurrent_iter 3 -updown_pairs 4 -rdb_pairs 3

Test on real-world data

---

• Dataset Google drive: https://drive.google.com/file/d/1j7p8B8WdmrF3G4u8iwJXCbZrFsM7faHu/view?usp=sharing
• Test Stack T-Net:

$ python apply.py -recurrent_iter 3 -updown_pairs 4 -rdb_pairs 3