ARShoe is a cutting-edge technology that aims to solve the "try-on" problem for augmented reality shoes. Using a multi-branch network for pose estimation and segmentation, the ARShoe system consists of an encoder and a decoder trained to predict keypoints, PAFs heatmap, and segmentation results in real-time. This allows users to virtually try on shoes and see how they would look and fit without ever needing to physically put them on.
The ARShoe Multi-Branch Network
The ARShoe system uses a un
Understanding FFB6D - A Revolution in 6D Pose Estimation
6D pose estimation is a critical application in computer vision for robotic manipulation, augmented reality, and autonomous driving. It involves determining the position and orientation of a known object in a 3D space - a task that can be tricky to accomplish with accuracy, especially from a single RGBD image. In recent years, researchers have developed various 6D pose estimation networks, with FFB6D being the most promising one in this f
PixLoc is an innovative way of estimating the 6-DoF pose of an image using a 3D model. It utilizes a neural network that is completely scene-agnostic, allowing it to work with any 3D structure available including point clouds, depth maps, meshes, and more. What makes PixLoc truly special is that it can learn strong data priors by end-to-end training, which helps the network generalize to new scenes. Let's dive a little deeper into how this technology works and what makes it stand out from the cr