Research map / 3D vision / Depth and stereo
SVBRDF-Invariant Shape and Reflectance Estimation From Light-Field Cameras
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 changed | Where | Measured | Effect |
|---|---|---|---|
| Use the proposed BRDF-invariant shape estimation method | Glossy materials in the MERL BRDF dataset · MERL BRDF dataset | depth error | Helped |
| Use the proposed method on fabric materials | Proposed method · MERL fabric materials | depth error | Mixed |
| Increase the number of virtual viewpoints (ablation) | Proposed method · Synthetic sphere | depth error | Helped |
| Vary the camera baseline, with best performance between 0.01 cm and 0.5 cm (ablation) | Proposed method · Synthetic sphere | depth error | Mixed |
Closest papers by meaning
- Robust Energy Minimization for BRDF-Invariant Shape From Light Fields (CVPR 2017 · similarity 0.89)
- Two-Shot Spatially-Varying BRDF and Shape Estimation (CVPR 2020 · similarity 0.88)
- Stereoscopic Flash and No-Flash Photography for Shape and Albedo Recovery (CVPR 2020 · similarity 0.88)
- SHINOBI: Shape and Illumination using Neural Object Decomposition via BRDF Optimization In-the-wild (CVPR 2024 · similarity 0.86)
- SfPUEL: Shape from Polarization under Unknown Environment Light (NeurIPS 2024 · similarity 0.85)
- Material Palette: Extraction of Materials from a Single Image (CVPR 2024 · similarity 0.85)
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.
