Learning Deep Gradient Descent Optimization for Image Deconvolution
Dong Gong*, Zhen Zhang*, Qinfeng Shi, Anton van den Hengel, Chunhua Shen, Yanning Zhang (*Equal contribution)
In IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2020.
[ArXiv]
This implementation is for non-commercial research use only. If you find this code useful in your research, please cite the above paper.
- Testing script:
./test_entry.py. - Pretrained model:
./rgdn.tr. - Testing Examples, with real and synthetic images.
- Kernel generation in Python:
./data/make_kernel.py, a Python implementation of the kernel simulation method from "A. Chakrabarti, A neural approach to blind motion deblurring, in ECCV, 2016".
- Python 3
- PyTorch 1.1.0 (recommended version)