Comments (1)
kxhit
commented on September 25, 2024
1
Hi again!
make_3D_grid is just for 3D mesh visualisation. The vectorised training part code is here, where we adopt functorch. A simple overview of using functorch to do vectorised training multi networks can be found here.
Yeah, KiloNeRF is a very cool work and the idea of decomposition is similar. However, kilonerf splits the 3D space into uniform voxels, aims at faster rendering and needs customrized cuda kernels, while we decompose the scene into object-level, aim at flexible 3D reconstruction for robotics and the vectorised training is operated at Pytorch level.
from vmap.
Related Issues (20)
- Questions about embedding function and forward pass of the model HOT 2
- Running iMAP demo HOT 5
- how can i run vmap on scannet datasets? HOT 6
- How to test on TUM-RGBD datasets HOT 2
- 3D mesh vis HOT 2
- About the reconstruction result of iMAP method is not good HOT 3
- Image height and width HOT 1
- data generation for other replica scenes HOT 6
- Depth L1 results: Table C in Supplementary Material HOT 1
- Question about the Object Initialisation and Association HOT 2
- Question about mh,mw? HOT 1
- About object mesh. HOT 1
- How to get scene mesh rather than object mesh? HOT 6
- vis script
- Question about ground-truth object mesh in Replica dataset HOT 2
- Question about vmap in pytorch HOT 1
- Novel view synthesis HOT 2
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from vmap.