New Stochastic Signed Distance Processes enhance surface reconstruction

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 →

• Hiroki Sakuma
• MobileBrick
• Neus
• Signed Directional Distance Function
• Stochastic Signed Distance Processes
• Technical University of Denmark

• paper
• other

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