Nov 21, 2022 · In this paper, we present D-NeuS, a volume rendering-base neural implicit surface reconstruction method capable to recover fine geometry details ...

In this paper, we propose a Details recovering Neu- ral implicit Surface reconstruction method named D-NeuS, with two constraints to guide the SDF field-based ...

D-NeuS is built on NeuS. It improves the surface reconstruction quality with fine details recovered.

In this paper, we present D-NeuS, a volume rendering-base neural implicit surface reconstruction method capable to recover fine geometry details.

We provide theoretical analysis of the geometry bias resulting from the unregularized SDF field in volume rendering-based neural implicit surface network, and ...

Request PDF | On Jan 1, 2023, Decai Chen and others published Recovering Fine Details for Neural Implicit Surface Reconstruction | Find, read and cite all ...

Oct 22, 2024 · Second, we incorporate normal cues, predicted by general-purpose monocular estimators, to substantially recover fine geometric details.

Dec 1, 2023 · In this work, we propose a neural implicit surface reconstruction pipeline with guidance from 3D Gaussian Splatting to recover highly detailed surfaces.

We present a novel neural surface reconstruction method, called NeuS, for reconstructing objects and scenes with high fidelity from 2D ...

This work proposes a neural implicit surface reconstruction pipeline with guidance from 3D Gaussian Splatting to recover highly detailed surfaces.