182 citations · 548 across the 24 of their papers we have counts for
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cs.CV2019★ 1 cited
Synthesizing 3D Shapes from Silhouette Image Collections using Multi-projection Generative Adversarial Networks
Xiao Li, Yue Dong, Pieter Peers +1
We present a new weakly supervised learning-based method for generating novel category-specific 3D shapes from unoccluded image collections. Our method is weakly supervised and onl…
cs.CV2019★ 9 cited
A Skeleton-bridged Deep Learning Approach for Generating Meshes of Complex Topologies from Single RGB Images
Jiapeng Tang, Xiaoguang Han, Junyi Pan +2
This paper focuses on the challenging task of learning 3D object surface reconstructions from single RGB images. Existing methods achieve varying degrees of success by using differ…
cs.CV2019★ 38 cited
Accurate 3D Face Reconstruction with Weakly-Supervised Learning: From Single Image to Image Set
Yu Deng, Jiaolong Yang, Sicheng Xu +3
Recently, deep learning based 3D face reconstruction methods have shown promising results in both quality and efficiency.However, training deep neural networks typically requires a…