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cs.CV2022
DS-MVSNet: Unsupervised Multi-view Stereo via Depth Synthesis
Jingliang Li, Zhengda Lu, Yiqun Wang +2
In recent years, supervised or unsupervised learning-based MVS methods achieved excellent performance compared with traditional methods. However, these methods only use the probabi…
cs.CV2022★ 1 cited
DepthGAN: GAN-based Depth Generation of Indoor Scenes from Semantic Layouts
Yidi Li, Yiqun Wang, Zhengda Lu +1
Limited by the computational efficiency and accuracy, generating complex 3D scenes remains a challenging problem for existing generation networks. In this work, we propose DepthGAN…