Point Encoder GAN: A deep learning model for 3D point cloud inpainting
寫在前面：這篇文章發表在2020年Neurocomputing期刊上（sci,審稿週期六個月，難度適中）交大激動學院master發表的文章，目前沒有找到源代碼 摘要 本文提出了一個端到端的網絡結構，實現不完整點雲對象的補全功能。優點有：不需要額外的標籤信息，直接處理點雲數據；使用小的樣本模型ModelNet40就能訓練出令人驚豔的效果，泛化能力很強。 網絡結構 Point Encoder GAN網
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相關文章
- 1. Deep Learning for 3D Point Clouds: A Survey
- 2. Point Cloud 2019
- 3. Deep Learning on Point Sets for 3D Classification and Segmentation
- 4. PF-Net: Point Fractal Network for 3D Point Cloud Completion 2020 論文筆記
- 5. Deep Closest Point: Learning Representations for Point Cloud Registration && 2019論文筆記
- 6. 3D Point Cloud Registration for Localization using a Deep Neural Network Auto-Encoder閱讀筆記
- 7. [Point Cloud] PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation 論文解讀
- 8. 翻譯和理解：Deep Closest Point: Learning Representations for Point Cloud Registration
- 9. 【論文閱讀】【綜述】Deep Learning for 3D Point Clouds: A Survey
- 10. A GRAPH-CNN FOR 3D POINT CLOUD CLASSIFICATION