Image/video stitching is a technology for solving the field of view (FOV) limitation of
images/videos. It stitches multiple overlapping images/videos to generate a wide-FOV …

Text-to-image diffusion models have made significant advances in generating and editing
high-quality images. As a result, numerous approaches have explored the ability of diffusion …

Abstract We present All-Pairs Multi-Field Transforms (AMT), a new network architecture for
video frame interpolation. It is based on two essential designs. First, we build bidirectional …

Multi-modal image registration aims to spatially align two images from different modalities to
make their feature points match with each other. Captured by different sensors, the images …

Recent research on learned visual descriptors has shown promising improvements in
correspondence estimation, a key component of many 3D vision tasks. However, existing …

Establishing dense correspondences between a pair of images is an important and general
problem, covering geometric matching, optical flow and semantic correspondences. While …

We propose a novel cost aggregation network, called Cost Aggregation Transformers
(CATs), to find dense correspondences between semantically similar images with additional …

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 …

Establishing visual correspondences under large intra-class variations requires analyzing
images at different levels, from features linked to semantics and context to local patterns …

Abstract We propose Probabilistic Warp Consistency, a weakly-supervised learning
objective for semantic matching. Our approach directly supervises the dense matching …