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Multi-View Consistent Generative Adversarial Networks for 3D-aware Image Synthesis. (arXiv:2204.06307v1 [cs.CV])
April 14, 2022, 1:10 a.m. | Xuanmeng Zhang, Zhedong Zheng, Daiheng Gao, Bang Zhang, Pan Pan, Yi Yang
cs.CV updates on arXiv.org arxiv.org
3D-aware image synthesis aims to generate images of objects from multiple
views by learning a 3D representation. However, one key challenge remains:
existing approaches lack geometry constraints, hence usually fail to generate
multi-view consistent images. To address this challenge, we propose Multi-View
Consistent Generative Adversarial Networks (MVCGAN) for high-quality 3D-aware
image synthesis with geometry constraints. By leveraging the underlying 3D
geometry information of generated images, i.e., depth and camera transformation
matrix, we explicitly establish stereo correspondence between views to perform …
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