Correspondences emerge from large-scale vision models trained for generative and
discriminative tasks. This has been revealed and benchmarked by computing …

We present a novel architecture for dense correspondence. The current state-of-the-art are
Transformer-based approaches that focus on either feature descriptors or cost volume …

This paper presents a deep architecture, called pyramidal semantic correspondence
networks (PSCNet), that estimates locally-varying affine transformation fields across …

We address the problem of semantic correspondence, that is, establishing a dense flow field
between images depicting different instances of the same object or scene category. We …

To establish robust semantic correspondence between images covering different objects
belonging to the same category, there are three important types of information including inter …

Humans effortlessly grasp the connection between sketches and real-world objects, even
when these sketches are far from realistic. Moreover, human sketch understanding goes …

Semantic correspondence remains a challenging task for establishing correspondences
between a pair of images with the same category or similar scenes due to the large intra …

Establishing visual correspondences across semantically similar images is challenging due
to intra-class variations, viewpoint changes, repetitive patterns, and background clutter …

We address the task of establishing visual correspondences between two images depicting
main objects of the same semantic category. This task encounters various challenges such …

Constructing panoramic images from a dual-fisheye lens has been increasingly used along
with the recent booming of new computer vision applications, such as virtual reality (VR) and …