Tensorformer: Normalized Matrix Attention Transformer for High-quality
Point Cloud Reconstruction

Tensorformer: Normalized Matrix Attention Transformer for High-quality Point Cloud Reconstruction

28 June 2023

Chenyang Zhu

Kai Xu

Papers citing "Tensorformer: Normalized Matrix Attention Transformer for High-quality Point Cloud Reconstruction"

8 / 8 papers shown

Title
CAD-NeRF: Learning NeRFs from Uncalibrated Few-view Images by CAD Model Retrieval Xin Wen Xuening Zhu Renjiao Yi Z. T. Wang Chenyang Zhu K. Xu 60 1 0 05 Nov 2024
Learning Deep Implicit Functions for 3D Shapes with Dynamic Code Clouds Tianyang Li Xin Wen Yu-Shen Liu Huapeng Su Zhizhong Han 3DPC 50 52 0 26 Mar 2022
Pyramid Vision Transformer: A Versatile Backbone for Dense Prediction without Convolutions Wenhai Wang Enze Xie Xiang Li Deng-Ping Fan Kaitao Song Ding Liang Tong Lu Ping Luo Ling Shao ViT 263 3,604 0 24 Feb 2021
Convolutional Occupancy Networks Songyou Peng Michael Niemeyer L. Mescheder Marc Pollefeys Andreas Geiger 3DV AI4CE 212 968 0 10 Mar 2020
Point-GNN: Graph Neural Network for 3D Object Detection in a Point Cloud Weijing Shi Ragunathan R. Rajkumar 3DPC 139 731 0 02 Mar 2020
SpiderCNN: Deep Learning on Point Sets with Parameterized Convolutional Filters Yifan Xu Tianqi Fan Mingye Xu Long Zeng Yu Qiao 3DV 3DPC 150 766 0 30 Mar 2018
MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications Andrew G. Howard Menglong Zhu Bo Chen Dmitry Kalenichenko Weijun Wang Tobias Weyand M. Andreetto Hartwig Adam 3DH 948 20,471 0 17 Apr 2017
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation C. Qi Hao Su Kaichun Mo Leonidas J. Guibas 3DH 3DPC 3DV PINN 222 14,047 0 02 Dec 2016