most citedGeoMAE: Masked Geometric Target Prediction for Self-supervised Point Cloud Pre-Training

3 citations · 3 across the 2 of their papers we have counts for

collaborators
Showing cs.CVShow all

2 papers · 1 filter

cs.CV2024

Towards Realistic Scene Generation with LiDAR Diffusion Models

Haoxi Ran, Vitor Guizilini, Yue Wang

Diffusion models (DMs) excel in photo-realistic image synthesis, but their adaptation to LiDAR scene generation poses a substantial hurdle. This is primarily because DMs operating…

cs.CV2023★ 3 cited

GeoMAE: Masked Geometric Target Prediction for Self-supervised Point Cloud Pre-Training

Xiaoyu Tian, Haoxi Ran, Yue Wang +1

This paper tries to address a fundamental question in point cloud self-supervised learning: what is a good signal we should leverage to learn features from point clouds without ann…