Comments (1)
Hi, thank you for your interest in our work and the deep investigation!
I'm not sure if I understand your question correctly. I guess you are asking about how to sample grasp candidates in arbitrary resolution, given the TSDF with fixed resolution.
Suppose we want to sample grasp candidates at 808080 resolution, we can first get the valid voxels using TSDF of 40 resolution. Then we can upsample the valid voxels into 80 resolution, and use the points inside the valid voxels to query grasping parameters. The key point here is that the valid voxel grid is easily interpolable, but the grasp parameters are not, and that's where the implicit representation comes into play.
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Related Issues (20)
- New dataset HOT 3
- Visualizing on custom dataset HOT 9
- Visualization of data generation HOT 2
- visual HOT 1
- How to use GIGA on real robot? HOT 2
- how to query at a higher resolution of 60×60×60 HOT 4
- Installation error: " LINK : fatal error LNK1181: can not open input file“m.lib” " HOT 4
- About NVIDIA Driver in WSL2 HOT 5
- Scene Descriptor HOT 2
- [Question] How to get the 3d reconstruction at inference time? HOT 6
- No module named vgn HOT 2
- libmesh failed! HOT 2
- Train GIGA HOT 1
- Can't log _aff.obj when running sim_grasp_multiple.py HOT 1
- Some confusion in the paper HOT 2
- The program that generates data gets stuck in the first loop HOT 2
- The time to generate the training set HOT 1
- Re-implentation in real world HOT 6
- Did you consider trying to avoid using the grasp data on the wrong voxels? HOT 2
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