facebookresearch/localrf
View on GitHubAn algorithm for reconstructing the radiance field of a large-scale scene from a single casually captured video.
- Stars
- 979
- Forks
- 60
- Open beginner issues
- 0
- Indexed issues
- 15
- Dominant language
- Python
- License
- MIT
- Last GitHub push
- Nov 4, 2023
- Latest indexed
- Sep 16, 2026
- Contributing guide
- Contributing guide
- Code of conduct
- Code of conduct
- Beginner labels
- No beginner labels indexed
- PR merge metrics
- No merged PRs in 30d
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Difficulty 3/5 1-2 days Newbie friendliness 25/100
facebookresearch/localrf#58 ·
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Difficulty 5/5 Over a week Newbie friendliness 25/100
facebookresearch/localrf#57 ·
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Difficulty 3/5 1-2 days Newbie friendliness 25/100
facebookresearch/localrf#56 ·
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Difficulty 3/5 1-2 days Newbie friendliness 25/100
facebookresearch/localrf#49 · 1 comment ·
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Difficulty 4/5 3-5 days Newbie friendliness 25/100
facebookresearch/localrf#45 · 11 comments ·
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Add midpoint loading Open
Difficulty 4/5 3-5 days Newbie friendliness 35/100
facebookresearch/localrf#43 ·
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Difficulty 4/5 3-5 days Newbie friendliness 25/100
facebookresearch/localrf#39 · 2 comments ·
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Difficulty 4/5 3-5 days Newbie friendliness 25/100
facebookresearch/localrf#38 · 4 comments · 3 reactions ·
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Difficulty 3/5 1-2 days Newbie friendliness 25/100
facebookresearch/localrf#26 · 1 comment ·
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Difficulty 5/5 Over a week Newbie friendliness 20/100
facebookresearch/localrf#23 · 3 comments · 1 reaction ·
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Difficulty 5/5 Over a week Newbie friendliness 20/100
facebookresearch/localrf#19 · 8 comments ·
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Difficulty 5/5 Over a week Newbie friendliness 25/100
facebookresearch/localrf#15 · 4 comments · 2 reactions ·
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Difficulty 4/5 3-5 days Newbie friendliness 25/100
facebookresearch/localrf#14 · 3 comments ·
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Masking ray sampling Open
Difficulty 4/5 3-5 days Newbie friendliness 25/100
facebookresearch/localrf#12 · 3 comments ·
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Difficulty 4/5 3-5 days Newbie friendliness 28/100
facebookresearch/localrf#6 · 7 comments ·