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Found 6 papers, 4 papers with code
Unsupervised Homography Estimation with Coplanarity-Aware GAN
Estimating homography from an image pair is a fundamental problem in image alignment.
FINet: Dual Branches Feature Interaction for Partial-to-Partial Point Cloud Registration
Data association is important in the point cloud registration.
Motion Basis Learning for Unsupervised Deep Homography Estimation with Subspace Projection
Last, we propose a Feature Identity Loss (FIL) to enforce the learned image feature warp-equivariant, meaning that the result should be identical if the order of warp operation and feature extraction is swapped.
OccInpFlow: Occlusion-Inpainting Optical Flow Estimation by Unsupervised Learning
Occlusion is an inevitable and critical problem in unsupervised optical flow learning.
DeepMeshFlow: Content Adaptive Mesh Deformation for Robust Image Registration
Deep homography methods, on the other hand, are free from such problem by learning deep features for robust performance.
Content-Aware Unsupervised Deep Homography Estimation
Homography estimation is a basic image alignment method in many applications.
Ranked #5 on
Homography Estimation
on S-COCO
