Shelf-Supervised Mesh Prediction in the Wild

Figure 1 . Given a single image, we predict a mesh with textures (rendered from the predicted view and a novel view). The models can learn directly from collections of images with only foreground masks, without supervision of mesh templates, multi-view association, camera poses, semantic annotations, etc.