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11/21/2022
SPARF: Neural Radiance Fields from Sparse and Noisy Poses
Neural Radiance Field (NeRF) has recently emerged as a powerful represen...
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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...
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03/08/2022
Probabilistic Warp Consistency for Weakly-Supervised Semantic Correspondences
We propose Probabilistic Warp Consistency, a weakly-supervised learning ...
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09/28/2021
PDC-Net+: Enhanced Probabilistic Dense Correspondence Network
Establishing robust and accurate correspondences between a pair of image...
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04/07/2021
Warp Consistency for Unsupervised Learning of Dense Correspondences
The key challenge in learning dense correspondences lies in the lack of ...
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01/05/2021
Learning Accurate Dense Correspondences and When to Trust Them
Establishing dense correspondences between a pair of images is an import...
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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...
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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...
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08/19/2019