Transcription of Pixel2Mesh: Generating 3D Mesh Models from Single RGB …
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Pixel2Mesh: Generating 3D Mesh Models from Single RGB …
Pixel2 Mesh: Generating 3D Mesh Modelsfrom Single RGB ImagesNanyang Wang1 , Yinda Zhang2 , Zhuwen Li3 ,Yanwei Fu4, Wei Liu5, Yu-Gang Jiang1 1 Shanghai Key Lab of Intelligent Information Processing,School of Computer Science, Fudan University2 Princeton University3 Intel Labs4 School of Data Science, Fudan University5 Tencent AI propose an end-to-end deep learning architecture that produces a3D shape in triangular mesh from a Single color image. Limited by the natureof deep neural network, previous methods usually represent a 3D shape in vol-ume or point cloud, and it is non-trivial to convert them to the more ready-to-usemesh model. Unlike the existing methods, our network represents 3D mesh in agraph-based convolutional neural network and produces correct geometry by pro-gressively deforming an ellipsoid, leveraging perceptual features extracted fromthe input image.
for large-scale high-quality reconstruction and simultaneous localization and mapping (SLAM) [4] for navigation. Though they are very successful in these scenarios, they are restricted by 1) the coverage that the multiple views can give and 2) the appearance of the object that wants to reconstruct. The former restriction means MVG cannot re-
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