This is a casual pytorch implementation of spatially-adaptive pixelwise network for fast image translation
I tested the code in database of CMP Facade Database
I provided a sample checkpoint which generate the following result example.
Image caption: Label masks, results, and ground truth image
Still some issues left to solve:
- In a single NVIDIA GenForce GTX 1080ti, the maximum image size can only be set to 256 x 256
- Some artifacts remain in the right conner that may disappear if keep on training.