Comments (1)
Hi Abdulkadir,
The downloadable .tar has marrnet1_with_minmax.pt
, which contains trained weights of the first half of MarrNet (which predicts 2.5D maps from RGB images). Indeed, the trained weights of the second half is not included in this repo, since this repo is mostly for GenRe and ShapeHD.
ShapeHD can be viewed as MarrNet but with an additional adversarial loss, so the first half of ShapeHD is the same as that of MarrNet. If you wish to use trained MarrNet, you might need to use the MarrNet repo instead: https://github.com/jiajunwu/marrnet.
from genre-shapehd.
Related Issues (20)
- Can I read numpy data from the depth,normal and silhouette image? HOT 4
- How to obtain surface normal images from the raw depth data? HOT 1
- I want to use the wgangp which is in the shapehd HOT 2
- ground truth images that give rise to the demo latent inputs
- how to get the intrinsic and extrinsic parameters when i use the GenRE HOT 3
- how can I make my own data set? HOT 1
- 128.npz voxel files are not TDF HOT 4
- Evaluation code HOT 2
- Failure when running test_genre.sh HOT 1
- Full Dataset? HOT 1
- Fail to compile. HOT 2
- Poor Genre results on demo images when compiled with Cuda10 HOT 6
- Generate distance field based on depth image by using render_spherical function HOT 2
- Different prediction results by using different data loader code for GenRe HOT 3
- Could you provide state_dicts for the discriminator of the pretrained models HOT 3
- how to
- how to train marrnet of shapehd? HOT 1
- GenRe docker environment for 2080Ti and 1080Ti HOT 1
- dataset link broken? HOT 2
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from genre-shapehd.