Tsingularity/dift
[NeurIPS'23] Emergent Correspondence from Image Diffusion
This project helps visual content creators and researchers identify semantically similar points between different images, even if the objects are of different types or in varying poses. You provide two images, click a point on one, and the tool highlights the corresponding point on the other image, along with a heatmap showing similarity. This is ideal for anyone working with visual assets who needs to understand relationships between elements across diverse images.
754 stars. No commits in the last 6 months.
Use this if you need to find corresponding features between two visually different images to propagate edits or analyze relationships, like comparing a cat to a lion.
Not ideal if you're looking for exact, pixel-level matches between highly similar images for tasks like image stitching or duplicate detection.
Stars
754
Forks
46
Language
Python
License
MIT
Category
Last pushed
May 14, 2024
Commits (30d)
0
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