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Title MonoSDF: Exploring Monocular Geometric Cues for Neural Implicit Surface Reconstruction
Author Zehao Yu1 Songyou Peng2,3 Michael Niemeyer1,3 Torsten Sattler4 Andreas Geiger1,3
Conf/Jour NeurIPS
Year 2022
Project MonoSDF (niujinshuchong.github.io)
Paper MonoSDF: Exploring Monocular Geometric Cues for Neural Implicit Surface Reconstruction (readpaper.com)

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深度+法向量监督

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Title Differentiable Volumetric Rendering: Learning Implicit 3D Representations without 3D Supervision
Author Michael Niemeyer1,2 Lars Mescheder1,2,3† Michael Oechsle1,2,4 Andreas Geiger1,2
Conf/Jour CVPR
Year 2020
Project autonomousvision/differentiable_volumetric_rendering: This repository contains the code for the CVPR 2020 paper “Differentiable Volumetric Rendering: Learning Implicit 3D Representations without 3D Supervision” (github.com)
Paper Differentiable Volumetric Rendering: Learning Implicit 3D Representations without 3D Supervision (readpaper.com)

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Title Image-based 3D Object Reconstruction: State-of-the-Art and Trends in the Deep Learning Era
Author Xian-Feng Han, Hamid Laga, Mohammed Bennamoun Senior Member, IEEE
Conf/Jour IEEE Transactions on Pattern Analysis and Machine Intelligence
Year 2019
Project
Paper Image-Based 3D Object Reconstruction: State-of-the-Art and Trends in the Deep Learning Era (readpaper.com)
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Title Voxurf: Voxel-based Efficient and Accurate Neural Surface Reconstruction
Author Tong Wu and Jiaqi Wang and Xingang Pan and Xudong Xu and Christian Theobalt and Ziwei Liu and Dahua Lin
Conf/Jour ICLR
Year 2023
Project wutong16/Voxurf: [ ICLR 2023 Spotlight ] Pytorch implementation for “Voxurf: Voxel-based Efficient and Accurate Neural Surface Reconstruction” (github.Com)
Paper Voxurf: Voxel-based Efficient and Accurate Neural Surface Reconstruction (readpaper.com)

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依赖 mask 即 rembg 技术

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