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New SfM methods combine foundation models and depth priors for improved 3D reconstruction · 4 sources tracked

By PulseAugur Editorial · [4 sources] ·

Two new research papers introduce advanced methods for Structure-from-Motion (SfM) reconstruction. Glob3R leverages 3D foundation models and optimizes feed-forward geometric predictions for robust and accurate scene reconstruction. DGSfM enhances global SfM by incorporating monocular depth maps as a prior, improving robustness and pose accuracy through depth-aware solvers and consistency checks. AI

IMPACT These methods could enhance the accuracy and scalability of 3D scene reconstruction, benefiting applications in robotics, AR/VR, and autonomous driving.

RANK_REASON Two new academic papers introducing novel methods for 3D reconstruction.

Read on arXiv cs.CV →

AI-generated summary · Google Gemini · from 4 sources. How we write summaries →

New SfM methods combine foundation models and depth priors for improved 3D reconstruction · 4 sources tracked

COVERAGE [4]

  1. arXiv cs.CV TIER_1 English(EN) · Junyuan Deng, Heng Li, Kejie Qiu, Lingteng Qiu, Rui Peng, Weichao Shen, Weihao Yuan, Siyu Zhu, Zilong Dong, Ping Tan ·

    Glob3R: Global Structure-from-Motion with 3D Foundation Models

    arXiv:2607.09225v1 Announce Type: new Abstract: Recent 3D geometric foundation models, such as VGGT, provide robust feed-forward 3D reconstruction by directly predicting camera poses and 3D scene points from input images. However, their results remain inaccurate, and scaling them…

  2. arXiv cs.CV TIER_1 English(EN) · Sithu Aung, Viktor Kocur, Yaqing Ding, Torsten Sattler, Zuzana Kukelova ·

    DGSfM: Depth-Guided Scale-Aware Global Structure-from-Motion

    arXiv:2607.09507v1 Announce Type: new Abstract: Global Structure-from-Motion (SfM) is an efficient paradigm for recovering camera poses and sparse 3D structure from unordered images. However, its reliance on scale-ambiguous epipolar geometry makes global positioning sensitive to …

  3. arXiv cs.CV TIER_1 English(EN) · Zuzana Kukelova ·

    DGSfM: Depth-Guided Scale-Aware Global Structure-from-Motion

    Global Structure-from-Motion (SfM) is an efficient paradigm for recovering camera poses and sparse 3D structure from unordered images. However, its reliance on scale-ambiguous epipolar geometry makes global positioning sensitive to noisy baseline estimates and weak view-graph con…

  4. arXiv cs.CV TIER_1 English(EN) · Ping Tan ·

    Glob3R: Global Structure-from-Motion with 3D Foundation Models

    Recent 3D geometric foundation models, such as VGGT, provide robust feed-forward 3D reconstruction by directly predicting camera poses and 3D scene points from input images. However, their results remain inaccurate, and scaling them to long sequences or large unordered image sets…

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