Unsupervised Learning of Depth and Ego-Motion from Cylindrical Panoramic Video with Applications for Virtual Reality
We introduce a convolutional neural network model for unsupervised learning of depth and ego-motion from cylindrical panoramic video. Panoramic depth estimation is an important technology for applications such as virtual reality, 3D modeling, and autonomous robotic navigation... (read more)
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Cityscapes
KITTI
SYNTHIA
CARLA
Make3D
Headcam
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Methods used in the Paper
| METHOD | TYPE | |
|---|---|---|
CARLA
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Video Game Models | |
Max Pooling
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Pooling Operations |