3 citations · 5 across the 4 of their papers we have counts for
4 papers
SPAC-Net: Rethinking Point Cloud Completion with Structural Prior
Zizhao Wu, Jian Shi, Xuan Deng +4
Point cloud completion aims to infer a complete shape from its partial observation. Many approaches utilize a pure encoderdecoder paradigm in which complete shape can be directly p…
Upsampling Autoencoder for Self-Supervised Point Cloud Learning
Cheng Zhang, Jian Shi, Xuan Deng +1
In computer-aided design (CAD) community, the point cloud data is pervasively applied in reverse engineering, where the point cloud analysis plays an important role. While a large…
PatchFormer: An Efficient Point Transformer with Patch Attention
Zhang Cheng, Haocheng Wan, Xinyi Shen +1
The point cloud learning community witnesses a modeling shift from CNNs to Transformers, where pure Transformer architectures have achieved top accuracy on the major learning bench…
PVT: Point-Voxel Transformer for Point Cloud Learning
Cheng Zhang, Haocheng Wan, Xinyi Shen +1
The recently developed pure Transformer architectures have attained promising accuracy on point cloud learning benchmarks compared to convolutional neural networks. However, existi…