Research map / 3D vision / Face and shape
Single Image Object Modeling Based on BRDF and R-Surfaces Learning
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| add photo-consistency and smoothing refinement (ablation) | BRDF and r-surfaces modeling method · MIT dataset | Z-MAE: 26.9816 -> 7.0197 | Helped |
| add photo-consistency and smoothing refinement (ablation) | BRDF and r-surfaces modeling method · MIT dataset | N-MAE: 0.5872 -> 0.2692 | Helped |
| add photo-consistency and smoothing refinement (ablation) | BRDF and r-surfaces modeling method · MIT dataset | S-MSE: 0.0394 -> 0.0261 | Hurt |
| add photo-consistency and smoothing refinement (ablation) | BRDF and r-surfaces modeling method · MIT dataset | L-MSE: 0.0217 -> 0.0174 | Helped |
| replace learned normal-field modeling with contour-only reconstruction (ablation) | BRDF and r-surfaces modeling method · MIT dataset | Z-MAE: 7.0197 -> 37.1768 | Hurt |
| replace learned normal-field modeling with contour-only reconstruction (ablation) | BRDF and r-surfaces modeling method · MIT dataset | N-MAE: 0.2692 -> 0.7728 | Hurt |
Closest papers by meaning
- Differentiable Inverse Rendering with Interpretable Basis BRDFs (CVPR 2025 · similarity 0.84)
- SHINOBI: Shape and Illumination using Neural Object Decomposition via BRDF Optimization In-the-wild (CVPR 2024 · similarity 0.83)
- Material Palette: Extraction of Materials from a Single Image (CVPR 2024 · similarity 0.82)
- Coherent 3D Scene Diffusion From a Single RGB Image (NeurIPS 2024 · similarity 0.82)
- Glossy Object Reconstruction with Cost-effective Polarized Acquisition (CVPR 2025 · similarity 0.82)
- Factored-NeuS: Reconstructing Surfaces, Illumination, and Materials of Possibly Glossy Objects (CVPR 2025 · similarity 0.82)
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