research
∙
07/27/2023
Take-A-Photo: 3D-to-2D Generative Pre-training of Point Cloud Models
With the overwhelming trend of mask image modeling led by MAE, generativ...
share
research
∙
01/11/2023
AdaPoinTr: Diverse Point Cloud Completion with Adaptive Geometry-Aware Transformers
In this paper, we present a new method that reformulates point cloud com...
research
∙
08/04/2022
P2P: Tuning Pre-trained Image Models for Point Cloud Analysis with Point-to-Pixel Prompting
Nowadays, pre-training big models on large-scale datasets has become a c...
research
∙
07/17/2022
Learning from Temporal Spatial Cubism for Cross-Dataset Skeleton-based Action Recognition
Rapid progress and superior performance have been achieved for skeleton-...
research
∙
05/26/2022
SemAffiNet: Semantic-Affine Transformation for Point Cloud Segmentation
Conventional point cloud semantic segmentation methods usually employ an...
research
∙
04/07/2022
FineDiving: A Fine-grained Dataset for Procedure-aware Action Quality Assessment
Most existing action quality assessment methods rely on the deep feature...
research
∙
12/22/2021
Multi-View Partial (MVP) Point Cloud Challenge 2021 on Completion and Registration: Methods and Results
As real-scanned point clouds are mostly partial due to occlusions and vi...
research
∙
11/29/2021
Point-BERT: Pre-training 3D Point Cloud Transformers with Masked Point Modeling
We present Point-BERT, a new paradigm for learning Transformers to gener...
research
∙
08/19/2021
PoinTr: Diverse Point Cloud Completion with Geometry-Aware Transformers
Point clouds captured in real-world applications are often incomplete du...
research
∙
08/17/2021