Comments (3)
Have you tried training a WGANGP model with our training pipeline, parameters, and our released data?
Here's the training script:
https://github.com/xiumingzhang/GenRe-ShapeHD/blob/master/scripts/train_wgangp.sh
If everything you are using is from this release, it should work out-of-the-box.
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I have tried training the WGANGP model with your pipeline, parameters and your released data for a month. But it took long time for training. As I calculated, it will take several months for training with 1000 epochs. I urgently need this trained model for a research work , so could you provide your trained wgangp model? thank you!
from genre-shapehd.
@congyang12345 If you urgently need a category-specific WGANGP generator, you can check out models trained on chairs and cars here
Also the speed you get is absolutely abnormal. Would you mind sharing the GPU spec and its utility during training? I believe we use ~2-3 days on a Titan XP.
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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
- MarrNet w/o Reprojection Consistency Weights HOT 1
- 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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