Comments (2)
ztzhang
commented on June 3, 2024
@jiajunwu might know more about the marrnet setup.
For ShapeHD, we compared it against our network without GAN Loss, which is nearly identical to Marrnet. We used different renderings and viewpoints than the ones used by Marrnet, therefore directly comparing scores might not be accurate. If you are looking for a comparison with Marrnet, you can refer to the model without the GAN Loss.
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jiajunwu
commented on June 3, 2024
Hi @qiminchen , the IoU is on chairs only. Regarding the comparison, I agree with Zhoutong's comments.
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
- 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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