SynthNet: A skip connected depthwise separable neural network for Novel View Synthesis of solid objects
The process of synthesizing an image with objects in new pose angles other than input pose is known as Novel View Synthesis. Humans can visualize the objects in new poses by imagination. This paper proposes a novel deep learning based solution named SynthNet for the same task. This paper identifies...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2022-03-01
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| Series: | Results in Engineering |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2590123022000536 |