SampleNet: Differentiable Point Cloud Sampling

Itai Lang, Asaf Manor, Shai Avidan · CVPR 2020 · 2020

DOI arXiv Code

Status

To read

Topics

sampling

Feeds

First paper · height sampling, P1 · ICCV 2027

What they did

Introduces SampleNet, a differentiable relaxation of point sampling that approximates each sampled point by a mixture of nearby input points, so task-specific sampling can be trained end to end.

My note

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Code

Repository

itailang/SampleNet

Framework

—

Licence

See the repository

My status

Not tried

BibTeX

@inproceedings{lang2020-samplenet,
  title = {{SampleNet: Differentiable Point Cloud Sampling}},
  author = {Itai Lang and Asaf Manor and Shai Avidan},
  booktitle = {CVPR 2020},
  year = {2020},
  doi = {10.1109/CVPR42600.2020.00760},
  eprint = {1912.03663},
  archivePrefix = {arXiv}
}