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Any3R model reconstructs 3D from any camera type without retraining

Researchers have developed Any3R, a novel feed-forward model capable of performing 3D reconstruction from images captured by any type of central camera. Unlike previous models that rely on pinhole camera assumptions, Any3R conditions its positional encoding and training loss on a dense ray field, which describes any central camera without needing lens-specific parameters. This approach allows Any3R to be robust to scenes with mixed camera types and consistently achieve high accuracy on benchmarks, enabling scalable 3D reconstruction from diverse, crowdsourced, and archival image collections. AI

IMPACT Enables scalable 3D reconstruction from diverse, crowdsourced, and archival image collections.

RANK_REASON Research paper detailing a new computer vision model. [lever_c_demoted from research: ic=1 ai=1.0]

Read on arXiv cs.CV →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

Any3R model reconstructs 3D from any camera type without retraining

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Research paper detailing a new computer vision model. [lever_c_demoted from research: ic=1 ai=1.0]
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COVERAGE [1]

  1. arXiv cs.CV TIER_1 English(EN) · Jingong Chen, Qingwen Zhang, Youming Deng, Chulwoo Pack, Olaf Wysocki, Boris Jutzi, Kwanghee Won, Kyle Gao ·

    Any3R: Feedforward 3D Reconstruction from Any Camera Type

    arXiv:2610.36150v1 Announce Type: new Abstract: Geometry foundation models recover camera poses and dense geometry from a set of images with a feed-forward network, but they expect pinhole images. That assumption is inside the backbone too: the positional encoding and the trainin…