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Leveraging-SE-3-Equivariance-for-Learning-3D-Geometric-Shape-Assembly
This is the official implementation of the paper "Leveraging SE(3)-Equivariance for Learning 3D Geometric Shape Assembly" (ICCV 2023)
https://crtie.github.io/SE-3-part-assembly/
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One question about 'recon_pts in pred_dict'
#8
pluto2D
closed
6 months ago
1
Revert "Feature/model test"
#7
SiddheshKanawade
closed
6 months ago
1
Feature/model test
#6
SiddheshKanawade
closed
6 months ago
0
one question about "dataverse_files/everyday.train.txt"
#5
pluto2D
closed
8 months ago
2
[BUG] RuntimeError: mat1 and mat2 shapes cannot be multiplied (93x1024 and 512x1024)
#4
panxy16
closed
8 months ago
2
where is the requires.txt file?
#3
wzm2256
closed
9 months ago
1
undefined variables
#2
wzm2256
closed
9 months ago
1
BUG: File "/BreakingBad/multi_part_assembly/models/vnn/network.py", line 209, in forward global_inv_feats.reshape( RuntimeError: shape '[-1, 1024, 1024]' is invalid for input of size 276480
#1
wzm2256
closed
9 months ago
3