Search Results for author: Sehyun Cha

Found 1 papers, 0 papers with code

TSDF-Sampling: Efficient Sampling for Neural Surface Field using Truncated Signed Distance Field

no code implementations29 Nov 2023 Chaerin Min, Sehyun Cha, Changhee Won, Jongwoo Lim

Notably, our method is the first approach that can be robustly plug-and-play into a diverse array of neural surface field models, as long as they use the volume rendering technique.

Surface Reconstruction

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