35 citations · 65 across the 4 of their papers we have counts for
4 papers · 1 filter
Neural Vector Fields: Generalizing Distance Vector Fields by Codebooks and Zero-Curl Regularization
Xianghui Yang, Guosheng Lin, Zhenghao Chen +1
Recent neural networks based surface reconstruction can be roughly divided into two categories, one warping templates explicitly and the other representing 3D surfaces implicitly.…
Neural Vector Fields: Implicit Representation by Explicit Learning
Xianghui Yang, Guosheng Lin, Zhenghao Chen +1
Deep neural networks (DNNs) are widely applied for nowadays 3D surface reconstruction tasks and such methods can be further divided into two categories, which respectively warp tem…
Single-view 3D Mesh Reconstruction for Seen and Unseen Categories
Xianghui Yang, Guosheng Lin, Luping Zhou
Single-view 3D object reconstruction is a fundamental and challenging computer vision task that aims at recovering 3D shapes from single-view RGB images. Most existing deep learnin…
BriNet: Towards Bridging the Intra-class and Inter-class Gaps in One-Shot Segmentation
Xianghui Yang, Bairun Wang, Kaige Chen +4
Few-shot segmentation focuses on the generalization of models to segment unseen object instances with limited training samples. Although tremendous improvements have been achieved,…