2021
Deep Optimized Priors for 3D Shape Modeling and Reconstruction
CVPR 2021poster
Many learning-based approaches have difficulty scaling to unseen data, as the generality of its learned prior is limited to the scale and variations of the training samples. This holds particularly true with 3D learning tasks, given the sparsity of 3D datasets available. We introduce a new learning…