6D Pose Estimation Models

ARShoe is a multi-branch network for pose estimation and segmentation tackling the "try-on" problem for augmented reality shoes. Consisting of an encoder and a decoder, the multi-branch network is trained to predict keypoints heatmap (heatmap), PAFs heatmap (pafmap), and segmentation results (segmap) simultaneously. Post processes are then performed for a smooth and realistic virtual try-on.

Source: ARShoe: Real-Time Augmented Reality Shoe Try-on System on Smartphones

Papers


Paper Code Results Date Stars

Tasks


Task Papers Share
Pose Estimation 1 50.00%
Virtual Try-on 1 50.00%

Components


Component Type
🤖 No Components Found You can add them if they exist; e.g. Mask R-CNN uses RoIAlign

Categories