Synthetic dataset generation Papers

[deebuls]

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.

• Keep this issue open till end
• Create a wiki page on this topic and keep adding your comments on the paper
• Keep adding all blender dataset paper here
• Also link of the wiki page with your comments

[deebuls]

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

[deebuls]

https://github.com/oarriaga/beauvoir

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