Dense Pixel Correspondence Estimation
14 papers with code • 4 benchmarks • 3 datasets
Libraries
Use these libraries to find Dense Pixel Correspondence Estimation models and implementationsMost implemented papers
Warp Consistency for Unsupervised Learning of Dense Correspondences
From our observations and empirical results, we design a general unsupervised objective employing two of the derived constraints.
Deep Matching Prior: Test-Time Optimization for Dense Correspondence
Conventional techniques to establish dense correspondences across visually or semantically similar images focused on designing a task-specific matching prior, which is difficult to model.
GAN-Supervised Dense Visual Alignment
We propose GAN-Supervised Learning, a framework for learning discriminative models and their GAN-generated training data jointly end-to-end.
GPS-GLASS: Learning Nighttime Semantic Segmentation Using Daytime Video and GPS data
Nighttime semantic segmentation is especially challenging due to a lack of annotated nighttime images and a large domain gap from daytime images with sufficient annotation.