half-potato / nmf

Our method takes as input a collection of images (100 in our experiments) with known cameras, and outputs the volumetric density and normals, materials (BRDFs), and far-field illumination (environment map) of the scene.

Date Created 2022-08-09 (2 years ago)

Commits 370 (last one 7 months ago)

Stargazers 53 (0 this week)

Watchers 9 (0 this week)

Forks 3

License mit

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RepositoryStats indexes 584,353 repositories, of these half-potato/nmf is ranked #445,226 (24th percentile) for total stargazers, and #224,040 for total watchers. Github reports the primary language for this repository as Jupyter Notebook, for repositories using this language it is ranked #11,571/17,098.

half-potato/nmf is also tagged with popular topics, for these it's ranked: deep-learning (#6,809/8389), computer-vision (#2,426/3081), 3d-reconstruction (#335/387), nerf (#222/280)

Other Information

half-potato/nmf has Github issues enabled, there are 6 open issues and 14 closed issues.

Homepage URL: https://half-potato.gitlab.io/posts/nmf/

All Topics

nerf 3d-rendering deep-learning computer-vision 3d-reconstruction inverse-rendering

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370 commits on the default branch (main) since jan '22

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updated: 2024-11-14 @ 02:36am, id: 523028501 / R_kgDOHyzIFQ