37 citations · 51 across the 3 of their papers we have counts for
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cs.CV2023★ 3 cited
AdaPoinTr: Diverse Point Cloud Completion with Adaptive Geometry-Aware Transformers
Xumin Yu, Yongming Rao, Ziyi Wang +2
In this paper, we present a new method that reformulates point cloud completion as a set-to-set translation problem and design a new model, called PoinTr, which adopts a Transforme…
cs.CV2022★ 37 cited
P2P: Tuning Pre-trained Image Models for Point Cloud Analysis with Point-to-Pixel Prompting
Ziyi Wang, Xumin Yu, Yongming Rao +2
Nowadays, pre-training big models on large-scale datasets has become a crucial topic in deep learning. The pre-trained models with high representation ability and transferability a…
cs.CV2021★ 11 cited
Multi-View Partial (MVP) Point Cloud Challenge 2021 on Completion and Registration: Methods and Results
Liang Pan, Tong Wu, Zhongang Cai +26
As real-scanned point clouds are mostly partial due to occlusions and viewpoints, reconstructing complete 3D shapes based on incomplete observations becomes a fundamental problem f…