Papers 3D Object Super-Resolution
“3D Object Super-Resolution” 태그가 달린 논문 2편 · 필터 해제
Learning Descriptor Networks for 3D Shape Synthesis and Analysis
2018-04-02 · CVPR 2018 6
· Jianwen Xie, Zilong Zheng, Ruiqi Gao, Wenguan Wang 외
This paper proposes a 3D shape descriptor network, which is a deep convolutional energy-based model, for modeling volumetric shape patterns. The maximum likelihood training of the model follows an "analysis by synthesis"…
3D Object Super-ResolutionObjectSuper-ResolutionMulti-View Silhouette and Depth Decomposition for High Resolution 3D Object Representation
2018-02-27 · NeurIPS 2018 12
· Edward Smith, Scott Fujimoto, David Meger
We consider the problem of scaling deep generative shape models to high-resolution. Drawing motivation from the canonical view representation of objects, we introduce a novel method for the fast up-sampling of 3D objects…
3D Object Reconstruction3D Object Super-ResolutionDepth EstimationDepth Prediction+2
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