Comments (1)
Hi @kwea123 , thanks a lot for your interest in the project!
Yes, what you observed is indeed very interesting. The main focus of our work is to learn to reconstruct textured objects while having only posed multi-view images with object masks and possibly depth maps as supervision. We choose to represent the object implicitly, i.e. f(x) = tau. In contrast, in NeRF the main focus is multi-view consistent novel-view synthesis, also only from posed multi-view images.
I think both representations are very interesting and have pros and cons. In addition, this is a very active research area - I am also very excited to see where this line of research goes.
Regarding different threshold values, we used the obvious choice of 0.5 in this project. In our previous project Occupancy Networks, we learned implicit functions with 3D supervision and we show and ablation study in the supplementary material (e.g. Fig. 3 - 4). Here, the value 0.2 performed best. However, the loss which is optimized is different so it cannot directly be compared.
I hope this helps a little. Good luck with your research!
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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.