3 papers
eess.IV2019
W-Net: Two-stage U-Net with misaligned data for raw-to-RGB mapping
Kwang-Hyun Uhm, Seung-Wook Kim, Seo-Won Ji +3
Recent research on learning a mapping between raw Bayer images and RGB images has progressed with the development of deep convolutional neural networks. A challenging data set name…
cs.CV2019
cGANs with Conditional Convolution Layer
Min-Cheol Sagong, Yong-Goo Shin, Yoon-Jae Yeo +2
Conditional generative adversarial networks (cGANs) have been widely researched to generate class conditional images using a single generator. However, in the conventional cGANs te…
cs.CV2019
PEPSI++: Fast and Lightweight Network for Image Inpainting
Yong-Goo Shin, Min-Cheol Sagong, Yoon-Jae Yeo +2
Among the various generative adversarial network (GAN)-based image inpainting methods, a coarse-to-fine network with a contextual attention module (CAM) has shown remarkable perfor…