# Weather GAN: Multi-Domain Weather Translation Using Generative Adversarial Networks
###### tags: `Reid paper survey`

- unknow
- minimax game [11].
- model collapse
- in unsupervised training, the generator may map
most data of source domain to a few samples of
target domain, which makes the generated results
lack of diversity. This phenomenon is also called
model collapse.
- how to know attention
- weakly supervion
- Dataset set 是其他新的?
- D 在最後比的是label 還是天氣種類
- 天氣種類
# Model Architecture
- the weather translation task is cast as an unsupervised image translation task
- three equally important tasks:
- (1) identifying objects of the image.
- (2) locating the region of interest from these
recognized objects.
- (3) the targeted region of interest is translated
correctly