Comments (1)
Also, the input image size of PSGN is 256 x 192 while yours is 128 x 128. How do you make a consistent comparison?
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Related Issues (12)
- Confusions about the result of PSGN HOT 7
- The frame the point cloud lies in HOT 3
- Extract gt pointclouds
- Request for point clouds generation method from meshes HOT 1
- hi ,could you like to share me with the demo? i have seen the metric.by ,but no demo.py? how to u use the trained mode in generating 2048points for 1024 points? HOT 5
- it is very new idea in 3D reconstruction,but would u like to share me with the model apply to the real-world data,like u said in paper,and in my experience it did't work,could u share me with the details?Thanks to your reply. HOT 4
- could you provide how to visualize the PSGN result like your paper shows HOT 4
- no problem
- NameError: name 'pcl_gt_1K_scaled' is not defined HOT 4
- Why my shapenet's chamfer and emd so low? HOT 1
- run code HOT 2
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