Multi-view Reconstruction via SfM-guided Monocular Depth Estimation
Haoyu Guo, He Zhu, Sida Peng, Haotong Lin, Yunzhi Yan, Tao Xie, Wenguan Wang, Xiaowei Zhou, Hujun Bao
2025Year
5Top-tier citations
Abstract
Figure 1. We propose Murre, a new method for multi-view 3D reconstruction based on SfM-guided monocular depth estimation. Building on Stable Diffusion [48], Murre demonstrates exceptional generalization capabilities after fine-tuning on a modest amount of synthetic data. Murre is capable of achieving high-quality reconstructions for a variety of real-world scenarios, including object-level, indoor, street, and aerial scenes.
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Cited by top-tier papers5
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Builds on34
- Denoising Diffusion Probabilistic ModelsJonathan Ho, Ajay Jain, Pieter AbbeelNeurIPS 2020 · 35,902 citations
- High-Resolution Image Synthesis with Latent Diffusion ModelsRobin Rombach, Andreas Blattmann, Dominik Lorenz, Patrick Esser et al.CVPR 2022 · 13,123 citations
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- Volume Rendering of Neural Implicit SurfacesLior Yariv, Jiatao Gu, Yoni Kasten, Yaron LipmanNeurIPS 2021 · 1,421 citations
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