DAGSfM
RedisJumphash
Our great sponsors
DAGSfM | RedisJumphash | |
---|---|---|
2 | 1 | |
384 | 8 | |
- | - | |
0.0 | 0.0 | |
almost 2 years ago | about 3 years ago | |
C | C | |
BSD 3-clause "New" or "Revised" License | MIT License |
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For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
DAGSfM
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Extracting Triangular 3D Models, Materials, and Lighting from Images
You can apply structure-from-motion to recover those, for example this fairly robust one: https://github.com/AIBluefisher/DAGSfM
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PlenOctrees for Real-Time Rendering of Neural Radiance Fields (NeRFs)
Try https://github.com/AIBluefisher/DAGSfM , it's graph-based approach is much more robust to common repetitive and only-partially-similar image content.
RedisJumphash
What are some alternatives?
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cru - co-recursion utilities
foldseek - Foldseek enables fast and sensitive comparisons of large structure sets.