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Template NeRF: Towards Modeling Dense Shape Correspondences from Category-Specific Object Images
[article]
2021
arXiv
pre-print
We present neural radiance fields (NeRF) with templates, dubbed Template-NeRF, for modeling appearance and geometry and generating dense shape correspondences simultaneously among objects of the same category from only multi-view posed images, without the need of either 3D supervision or ground-truth correspondence knowledge. The learned dense correspondences can be readily used for various image-based tasks such as keypoint detection, part segmentation, and texture transfer that previously
arXiv:2111.04237v1
fatcat:sulvlx4y6vfntnyi5pur5nhvxq