Comments (2)
Hi @jay-thakur , thanks a lot for your interest in the project!
The visual hull depth is only used by our model which uses only the RGB Loss: It uses this visual hull depth for the occupancy loss to encourage occupancy along rays where nothing is occupied currently, but where the GT mask suggest it should be occupied. For a more in-depth explanation, please have a look at the paper.
This means that if you use e.g. depth maps, you don't need the visual hull depth. If you want to create them, you need to a.) extract the visual hull, and b.) render it from the respective views to obtain the depth maps. If you don't want to use them during training, you can also disable the use by setting the config entry data - depth_from_visual_hull to False.
I hope this helps a little. Good luck with your research!
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@m-niemeyer Thank you so much.
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Related Issues (20)
- check_ray_intersection_with_unit_cube HOT 1
- How to prepare data for the model? HOT 3
- create dataset.
- Is it possible to have a scene-general model for multi-view reconstruction? HOT 1
- p_freespace in get_freespace_loss_points() and p_occupancy in get_occupancy_loss_points()?
- Why is the focal length different in your rendering and img_choy2016? HOT 4
- How to evaluate the chamfer distance for the DTU dataset? HOT 1
- Evaluation scores very low HOT 1
- Scale of point clouds in DTU datasets? HOT 1
- Test in ShapeNet with multi-view inputs
- check_ray_intersection_with_unit_cube bottlenecking CPU HOT 2
- Normalize ray_vector?
- A question about the 3.2Section of the paper HOT 1
- How to generate cameras.npz and pcl.npz for custom datasets? HOT 1
- download the data.
- Error generating mesh jpg when run demo
- Error in setup.py HOT 1
- size mismatch for decoder
- Where to download the pretrained models?
- How to get gif like your readme from a ply file? HOT 1
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from differentiable_volumetric_rendering.