Comments (3)
czq142857
commented on June 26, 2024
Yes. For different images, the only difference in the BSP-trees is the plane parameters. The connections are the same. It may limit the network's capacity. The concern is that the size of the connection matrix T is pxc, where p is the number of planes and c the number of convexes. In our implementation, p=4,096 and c=256, therefore pxc=1,048,576. It is hard to output those weights without reducing p or c.
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trisct
commented on June 26, 2024
Thanks for the clarification. I wonder if you have done any experiment to see if outputting the weights from image features is possible in simple cases, for example, the 2d toy problems.
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czq142857
commented on June 26, 2024
No, I haven't.
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Related Issues (14)
- Number of planes HOT 1
- experience result HOT 2
- Reproduce Experiment Results HOT 2
- Inferring on images of size 128x128 using the 2D BSP-Net HOT 1
- Is there anything I missed in this project? HOT 1
- Chamfer distance computation
- how layer2 and layer3 aggregated HOT 1
- Question about detect intersection on the 12 edges HOT 1
- how to get mesh output HOT 1
- Shape generation HOT 2
- how to get mesh output with lower number of vertices and faces HOT 2
- Experiment on Semantic Segmantation (ShapeNetPart) HOT 3
- Encoder training for SVR HOT 1
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