【論文筆記】Unsupervised Learning of Probably Symmetric Deformable 3D Objects from Images in the Wild
【論文筆記】可能對稱可變形3D物體自然場景下圖像的無監督學習 CVPR 2020中，無監督學習或者半監督學習也是一個熱點話題。 本期，推送一篇CVPR 2020中可能對稱可變形的3D物體自然場景下圖像的無監督學習。 論文題目：Unsupervised Learning of Probably Symmetric Deformable 3D Objects from Images in the Wi
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相關文章
- 1. 【論文閱讀】Unsupervised Learning of Probably Symmetric Deformable 3D Objects from Images in the Wild
- 2. [三維重建] Unsupervised Learning of Probably Symmetric Deformable 3D Objects from Images in the Wild
- 3. 【論文筆記】Learning from Synthetic Data for Crowd Counting in the Wild
- 4. 景深 | Depth from Videos in the Wild: Unsupervised Monocular Depth Learning from Unknown Cameras
- 5. 論文筆記（三） 【Learning from Simulated and Unsupervised Images through Adversarial Training】
- 6. Deep Learning 論文筆記 (3): Deep Learning Face Attributes in the Wild
- 7. 論文閱讀: 3D Human Pose Estimation in the Wild by Adversarial Learning
- 8. Learning to Detect Fake Face Images in the Wild
- 9. Material Recognition in the Wild with the Materials in Context Database論文筆記
- 10. 論文筆記：Learning Denoising from Single Noisy Images