- 2022年秋以前
- 2022年秋以后
- 01 A Review of Point Cloud Semantic Segmentation
- 02 MVCNN
- 03 3D reconstruction using deep learning: a survey
- 04 Learning to Reconstruct Shapes from Unseen Classes
- 05 HDM-Net
- 06 Non-Rigid NeRF
- 07 3D Reconstruction from a Single RGB Image using Deep Learning: A Review
- 08 Deep learning based point cloud registration: an overview
- 09 Learning to Reconstruct Texture-Less Deformable Surfaces from a Single View
- 10 Attention is all you need
- 11 The illustrated transformer
- 12 Vision Transformer for Dense Prediction
- 13 A gentle introduction to GNN
- 14 Pixel2Mesh
- 15 NeRF
- 16 NeuS
- 17 Marching cubes
2022年秋以前
01 PlaneNet
02 PlaneNet++
03 L1 Loss
2022年秋以后
01 A Review of Point Cloud Semantic Segmentation
Linking Points With Labels in 3D: A Review of Point Cloud Semantic Segmentation
2020, IEEE Geosci. Remote Sens. Mag., 213 citations.
02 MVCNN
MVCNN: Multi-view Convolutional Neural Networks for 3D Shape Recognition
2015, ICCV, 2639 citations
03 3D reconstruction using deep learning: a survey
3D reconstruction using deep learning: a survey
2020， Commu. in Info & Systems., 16 citations
04 Learning to Reconstruct Shapes from Unseen Classes
Learning to Reconstruct Shapes from Unseen Classes
2018, NIPS, 110 citations
05 HDM-Net
HDM-Net: Monocular Non-rigid 3D Reconstruction with Learned Deformation Model
2018, VR&AR, 23 citations
06 Non-Rigid NeRF
Non-Rigid Neural Radiance Fields: Reconstruction and Novel View Synthesis of a Dynamic Scene From Monocular Video
2021, ICCV, 109 citations
07 3D Reconstruction from a Single RGB Image using Deep Learning: A Review
3D Reconstruction from a Single RGB Image using Deep Learning: A Review
2022.08, J. Imaging, 0 citatiosn
08 Deep learning based point cloud registration: an overview
Deep learning based point cloud registration: an overview
2020, VR&IH, 48 citations
09 Learning to Reconstruct Texture-Less Deformable Surfaces from a Single View
Learning to Reconstruct Texture-Less Deformable Surfaces from a Single View
2018, 3DV, 27 citations
10 Attention is all you need
Attention is all you need
2018, NIPS, 52587 citations
11 The illustrated transformer
The illustrated transformer
2020 updated, Blog
12 Vision Transformer for Dense Prediction
2021, ICCV, 284 citations
13 A gentle introduction to GNN
A gentle introduction to GNN
2021, Distill, 24 citations
14 Pixel2Mesh
Pixel2Mesh: Generating 3D Mesh Models from Single RGB Images
2018, ECCV, 886 citations
15 NeRF
NeRF: Representing Scenes as Neural Radiance Fields for View Synthesis
2020, ECCV, 1432 citations
16 NeuS
NeuS: Learning Neural Implicit Surfaces by Volume Rendering for Multi-view Reconstruction
2021, NIPS, 135 citations
17 Marching cubes
Marching cubes: A high resolution 3D surface construction algorithm
1987, ACM SIGGRAPH Computer Graphics, 18320 citations.