Visual enhancement of single-view 3D point cloud reconstruction
G Ping, MA Esfahani, J Chen, H Wang - Computers & graphics, 2022 - Elsevier
Abstract 3D reconstruction from a single image is one of the core computer vision problems.
Thanks to the development of deep learning, 3D reconstruction of a single image has
demonstrated impressive progress in recent years. Existing researches use Chamfer
distance as a loss function to guard the training of the neural network. However, the Chamfer
loss will give equal weights to all points inside the 3D point clouds. It tends to sacrifice fine-
grained and thin structures to avoid incurring a high loss, which will lead to visually …
Thanks to the development of deep learning, 3D reconstruction of a single image has
demonstrated impressive progress in recent years. Existing researches use Chamfer
distance as a loss function to guard the training of the neural network. However, the Chamfer
loss will give equal weights to all points inside the 3D point clouds. It tends to sacrifice fine-
grained and thin structures to avoid incurring a high loss, which will lead to visually …
Showing the best result for this search. See all results