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@@ -46,7 +46,7 @@ This repo only contains **PyTorch** Implementation.
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* Two versions of **QT-Opt** are implemented [here](https://github.com/quantumiracle/QT_Opt).
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* **PointNet** for landmarks generation from images with unsupervised learning is implemented [here](https://github.com/quantumiracle/PointNet_Landmarks_from_Image/tree/master). This method is also used for image-based reinforcement learning as a STOA algorithm, called **Transporter**.
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* **PointNet** for landmarks generation from images with unsupervised learning is implemented [here](https://github.com/quantumiracle/PointNet_Landmarks_from_Image/tree/master). This method is also used for image-based reinforcement learning as a SOTA algorithm, called **Transporter**.
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original paper: [Unsupervised Learning of Object Landmarksthrough Conditional Image Generation](https://papers.nips.cc/paper/7657-unsupervised-learning-of-object-landmarks-through-conditional-image-generation.pdf)
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