Finding new materials with useful properties is a primary goal for materials scientists, and it's central to improving ...

We present a multi-scale deep convolutional neural network (CNN) for the task of automatic 2D-to-3D conversion. Traditional methods, which make a virtual view from a reference view, consist of ...

3dSen brings your favorite NES classics to life by transforming 2D retro games into immersive 3D worlds, now available on Steam ...

Training accurate 3D human pose estimators requires large amount of 3D ground-truth data which is costly to collect. Various weakly or self supervised pose estimation methods have been proposed due to ...