BlendedMVS

홈페이지 · 논문 105편

BlendedMVS is a novel large-scale dataset, to provide sufficient training ground truth for learning-based MVS. The dataset was created by applying a 3D reconstruction pipeline to recover high-quality textured meshes from images of well-selected scenes. Then, these mesh models were rendered to color images and depth maps. Source: [BlendedMVS: A Large-scale Dataset for Generalized Multi-view Stereo Networks](/paper/blendedmvs-a-large-scale-dataset-for)