hyenal/coam
Official repository of 'Co-Attention for Conditioned Image Matching'
This project helps computer vision researchers and practitioners accurately match specific features or regions between two different images, even when one image is distorted, stylized, or taken from a different viewpoint. You provide a pair of images and optionally a 'conditioning' image that guides the matching process, and the system identifies corresponding points or areas across them. It is designed for those working with visual recognition, 3D reconstruction, or visual localization tasks.
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Use this if you need robust and precise image feature matching, especially when dealing with changes in viewpoint, lighting, or artistic stylization between image pairs.
Not ideal if you are looking for a general-purpose image search or object detection tool rather than fine-grained feature correspondence.
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Language
Python
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Last pushed
May 23, 2021
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