54 citations · 104 across the 5 of their papers we have counts for
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3 papers · 1 filter
cs.CV2016★ 3 cited
Learning Non-Lambertian Object Intrinsics across ShapeNet Categories
Jian Shi, Yue Dong, Hao Su +1
We consider the non-Lambertian object intrinsic problem of recovering diffuse albedo, shading, and specular highlights from a single image of an object. We build a large-scale obje…
cs.CV2016★ 54 cited
A Point Set Generation Network for 3D Object Reconstruction from a Single Image
Haoqiang Fan, Hao Su, Leonidas Guibas
Generation of 3D data by deep neural network has been attracting increasing attention in the research community. The majority of extant works resort to regular representations such…
cs.CV2016★ 41 cited
SyncSpecCNN: Synchronized Spectral CNN for 3D Shape Segmentation
Li Yi, Hao Su, Xingwen Guo +1
In this paper, we study the problem of semantic annotation on 3D models that are represented as shape graphs. A functional view is taken to represent localized information on graph…