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New Stochastic Signed Distance Processes enhance surface reconstruction

By PulseAugur Editorial · [1 sources] ·

Researchers have introduced Stochastic Signed Distance Processes (SSDP), a novel approach to multi-view surface reconstruction that models the Signed Distance Field (SDF) along each ray as a stochastic process. This probabilistic surface rendering method models pixel color as a mixture distribution derived from the random first ray-surface intersection, offering improved uncertainty quantification. Experiments on the DTU and MobileBrick datasets show SSDP outperforming existing methods. AI

IMPACT This new method offers improved uncertainty quantification in surface reconstruction tasks.

RANK_REASON The cluster contains a research paper detailing a new method for surface reconstruction. [lever_c_demoted from research: ic=1 ai=1.0]

Read on arXiv cs.LG →

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

New Stochastic Signed Distance Processes enhance surface reconstruction

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The cluster contains a research paper detailing a new method for surface reconstruction. [lever_c_demoted from research: ic=1 ai=1.0]
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COVERAGE [1]

  1. arXiv cs.LG TIER_1 English(EN) · Hiroki Sakuma, Masatoshi Okutomi ·

    Stochastic Signed Distance Processes

    arXiv:2606.20856v2 Announce Type: replace-cross Abstract: Multi-view surface reconstruction is a core problem in computer vision. One prominent line of work represents the surface implicitly as a signed distance field (SDF), optimizing it based on the photometric loss between ren…

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