Rui Li (@leedaray)

2024-08-31 | โค๏ธ 53 | ๐Ÿ” 6


Learned priors are useful in improving the discrete, noisy 3D predictions from DUSt3R/MASt3R. This paper has been added to the ๐Ÿš€awesome-dust3r๐Ÿš€ list, check out for more details at: https://github.com/ruili3/awesome-dust3r

Quoted: @zhenjun_zhao

Spurfies: Sparse Surface Reconstruction using Local Geometry Priors

Kevin Raj, Christopher Wewer, Raza Yunus, @EddyIlg, @janericlenssen

tl;dr: neural point representation disentangles geometry &โ€ฆ


์ธ์šฉ ํŠธ์œ—

Zhenjun Zhao (@zhenjun_zhao)

Spurfies: Sparse Surface Reconstruction using Local Geometry Priors

Kevin Raj, Christopher Wewer, Raza Yunus, @EddyIlg, @janericlenssen

tl;dr: neural point representation disentangles geometry & appearance; pre-train geometry prior on synthetic dataset

https://t.co/t3vtc7iS1z https://t.co/GsuwKK5rBD

์›๋ณธ ํŠธ์œ—

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Tags

domain-vision-3d