HIGHLIGHTS
- who: Hanting Yang et al. from the Graduate School of Informatics, Nagoya University, Furo-cho, Chikusa-ku, Nagoya, Japan have published the Article: Framework for Generation and Removal of Multiple Types of Adverse Weather from Driving Scene Images, in the Journal: Sensors 2023, 23, 1548. of /2023/
- what: The authors propose Multiple Weather Translation GAN (MWTG) a CycleGAN-based dual-purpose framework that simultaneously learns weather generation and its removal from image data. The authors proposed a dual-purpose framework for generating images of multiple adverse weather conditions from clear weather images, as well as . . .
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