GARNet: Global-Aware Multi-View 3D Reconstruction Network and the Cost-Performance Tradeoff. (arXiv:2211.02299v1 [cs.CV])

Deep learning technology has made great progress in multi-view 3D
reconstruction tasks. At present, most mainstream solutions establish the
mapping between views and shape of an object by assembling the networks of 2D
encoder and 3D decoder as the basic structure while they adopt different
approaches to obtain aggregation of features from several views. Among them,
the methods using attention-based fusion perform better and more stable than
the others, however, they still have an obvious shortcoming -- the strong
independence …

3d reconstruction arxiv cost global network performance