research
∙
11/21/2022
SPARF: Neural Radiance Fields from Sparse and Noisy Poses
Neural Radiance Field (NeRF) has recently emerged as a powerful represen...
share
research
∙
07/14/2022
Refign: Align and Refine for Adaptation of Semantic Segmentation to Adverse Conditions
Due to the scarcity of dense pixel-level semantic annotations for images...
research
∙
03/08/2022
Probabilistic Warp Consistency for Weakly-Supervised Semantic Correspondences
We propose Probabilistic Warp Consistency, a weakly-supervised learning ...
research
∙
09/28/2021
PDC-Net+: Enhanced Probabilistic Dense Correspondence Network
Establishing robust and accurate correspondences between a pair of image...
research
∙
04/07/2021
Warp Consistency for Unsupervised Learning of Dense Correspondences
The key challenge in learning dense correspondences lies in the lack of ...
research
∙
01/05/2021
Learning Accurate Dense Correspondences and When to Trust Them
Establishing dense correspondences between a pair of images is an import...
research
∙
09/16/2020
GOCor: Bringing Globally Optimized Correspondence Volumes into Your Neural Network
The feature correlation layer serves as a key neural network module in n...
research
∙
12/11/2019
GLU-Net: Global-Local Universal Network for Dense Flow and Correspondences
Establishing dense correspondences between a pair of images is an import...
research
∙
08/19/2019
