Point-PQAE pre-trains point cloud transformers by cross-reconstructing one randomly cropped and rotated view from another, improving frozen-feature accuracy on ScanObjectNN by up to 7% over Point-MAE.
Masked autoencoders are scalable vision learners
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
citation-role summary
other 1
citation-polarity summary
fields
cs.CV 1years
2025 1verdicts
CONDITIONAL 1roles
other 1polarities
unclear 1representative citing papers
citing papers explorer
-
Towards More Diverse and Challenging Pre-training for Point Cloud Learning: Self-Supervised Cross Reconstruction with Decoupled Views
Point-PQAE pre-trains point cloud transformers by cross-reconstructing one randomly cropped and rotated view from another, improving frozen-feature accuracy on ScanObjectNN by up to 7% over Point-MAE.