Synthetic dataset generation Papers

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https://openaccess.thecvf.com/content_CVPR_2020/papers/Yao_BlendedMVS_A_Large-Scale_Dataset_for_Generalized_Multi-View_Stereo_Networks_CVPR_2020_paper.pdf

BlendedMVS: A Large-scale Dataset for Generalized Multi-view Stereo Networks Yao Yao1 Zixin Luo1 Shiwei Li2 Jingyang Zhang1 Yufan Ren3 Lei Zhou1 Tian Fang2 Long Quan

To create the dataset, we apply a 3D reconstruction pipeline to recover high-quality textured meshes from im- ages of well-selected scenes. Then, we render these mesh models to color images and depth maps. To introduce the ambient lighting information during training, the rendered color images are further blended with the input images to generate the training input.

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https://repository.up.ac.za/handle/2263/83957

RailEnV-PASMVS: a dataset for multi-view stereopsis training and reconstruction applications

André Broekman; Petrus Johannes Gräbe

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https://github.com/oarriaga/beauvoir

This is repo from out master student it has blender code for data generation for classificaiton and detection .