AI Paper Atlas

Research map / 3D vision / Depth and stereo

Real-Time Depth Refinement for Specular Objects

CVPR 2016 · 3D vision › Depth and stereo · approach: Foundation models for monocular geometry · 20 citations (OpenAlex)

Check your idea against 108,967 papers

AI-extracted summary. Written by AI from the paper's title only (no summary yet). Numbers and claims can be wrong or missing context, so check the paper before you cite or build on it.

Measured effects reported in the paper

What was changedWhereMeasuredEffect
Use the calibrated single-source IR near-field lighting model instead of natural-lighting spherical harmonicsSpecular lighting estimation · Six rendered objectsSpecular lighting RMSE (gray intensity): Armadillo: 2.018 vs 11.631; Dragon: 3.569 vs 10.422; Greek Statue: 2.960 vs 7.241; Stone Lion: 4.428 vs 7.8294; CheesebuHelped
Apply the proposed IR depth refinement rather than the strongest listed baselineDepth refinement · Six synthetic models, specular regionsMedian error (mm): Armadillo: 0.294 vs 0.318; Dragon: 0.324 vs 0.337; Greek Statue: 0.265 vs 0.281; Stone Lion: 0.355 vs 0.375; CheeseburgeHelped
Apply the proposed IR depth refinement rather than the strongest listed baselineDepth refinement · Six synthetic models, specular regions90th percentile error (mm): Armadillo: 0.655 vs 0.821; Dragon: 0.870 vs 0.917; Greek Statue: 0.737 vs 0.806; Stone Lion: 0.949 vs 0.874; CheeseburgeMixed

Closest papers by meaning

Writing a paper in this area? scime draft is a free LaTeX editor with AI included, real-time co-authors and a check of your references and venue rules before you submit. It also imports OpenAI Prism projects.

Open scime draft

Get the next scime Dispatch and a monthly field update

Free. We send a confirmation link first; every email has a one-click unsubscribe. Privacy