NeuroMorph: unsupervised shape interpolation and correspondence in one go
We present NeuroMorph, a new neural network architecture that takes as input two 3D shapes and produces in one go, i.e. in a single feed forward pass, a smooth interpolation and point-to-point correspondences between them. The interpolation, expressed as a deformation field, changes the pose of the...
| Автори: | , , , , , , |
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| Формат: | Conference item |
| Мова: | English |
| Опубліковано: |
IEEE
2021
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