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Fused Network for View Synthesis

3D movie has become the mainstream for in cinema, and the growing of 3D television and other digital devices is rapid, 3D contents are more demanded in recent years. Producing stereoscopic effect from many existing 2D videos is the most cost-effective under many circumstances. In this paper, we aim to integrate the pipeline into an end-to-end framework, fusing the unsupervised depth estimation with DIBR, the synthesized view generated by the network directly to get the frame for the virtual view angle, and the segmentation model. The fusion makes it possible to exploit both contextual and geometric information better.