Region-adaptive normalization (RAN) methods have been widely used in the...
Coarse-to-fine strategies have been extensively used for the architectur...
Convolutional neural networks (CNNs) have been not only widespread but a...
Recent research on a learning mapping between raw Bayer images and RGB i...
This paper presents a simple but effective way that improves the perform...
3D hand pose estimation from a single depth image plays an important rol...
This paper reviews the first-ever image demoireing challenge that was pa...
Conditional generative adversarial networks (cGANs) have been widely
res...
Generative adversarial network (GAN)-based image inpainting methods whic...
Various power saving and contrast enhancement (PSCE) techniques have bee...