own dataset
1030366507 opened this issue · 2 comments
The article claims that a geometric shape (GS) can be generated with just four images, but in actual operation, to create a sparse point cloud, I only have photos from four perspectives. How can I use COLMAP to generate a .sparse file with such a limited number of images? Isn't this contradictory to the title of the article? The point clouds in the dataset are all generated from a multitude of photographs. I am hoping for some guidance on how to use this project with only a few images.
maybe you can test dust3r. It can generate an initialization from 4 views
Sorry for the late reply! The official implementation of DUSt3R has been open-sourced. You can refer to the pred_poses.py file in the source code for guidance.