SilNet: Single- and multi-View reconstruction by learning from silhouettes
<p>The objective of this paper is 3D shape understanding from single and multiple images. To this end, we introduce a new deep-learning architecture and loss function, SilNet, that can handle multiple views in an order-agnostic manner. The architecture is fully convolutional, and for training...
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| Format: | Conference item |
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British Machine Vision Association and Society for Pattern Recognition
2017
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