Image-to-image cGAN
University of California (UC) BerkeleyImage generationImage-to-image
The Image-to-image cGAN model is a image generation model from University of California (UC) Berkeley.
About Image-to-image cGAN
We investigate conditional adversarial networks as a general-purpose solution to image-to-image translation problems. These networks not only learn the mapping from input image to output image, but also learn a loss function to train this mapping. Th
Details
- Provider
- University of California (UC) Berkeley
- Task
- Image generation,Image-to-image
- Released
- 2016-11-21