Correspondence Transformers with Asymmetric Feature Learning and Matching Flow Super-Resolution

Figure 1. Dense visual correspondence generated by state-of-the-art algorithms, including SCOT [30], CATs [8], MMNet [49] and our asymmetric correspondence transformer. Images are warped with predicted key points using thin-plate splines algorithm [4].