Research map / 3D vision / Face and shape
Texture Mapping for 3D Reconstruction With RGB-D Sensor
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| Use global-to-local correction instead of the compared texture-mapping approaches | Proposed RGB-D texture mapping method · toy, book, hat, keyboard | running time: 27.608 vs 147.068; 157.014 vs 486.649; 59.949 vs 214.774; 47.637 vs 321.973 | Helped |
| Add local texture-coordinate correction to global optimization (ablation) | Proposed RGB-D texture mapping method · Texture mapping scenes | seam alignment | Helped |
| Add depth consistency constraint to global optimization (ablation) | Proposed RGB-D texture mapping method · Texture mapping scenes | texture alignment | Helped |
| Select one optimal image per face rather than blend multiple images | Proposed RGB-D texture mapping method · Complex RGB-D scenes | texture blurring and ghosting | Helped |
Closest papers by meaning
- Textured Gaussians for Enhanced 3D Scene Appearance Modeling (CVPR 2025 · similarity 0.85)
- Paint3D: Paint Anything 3D with Lighting-Less Texture Diffusion Models (CVPR 2024 · similarity 0.84)
- 3DOT: Texture Transfer for 3DGS Objects from a Single Reference Image (NeurIPS 2025 · similarity 0.83)
- GTR: Improving Large 3D Reconstruction Models through Geometry and Texture Refinement (ICLR 2025 · similarity 0.83)
- Coherent 3D Scene Diffusion From a Single RGB Image (NeurIPS 2024 · similarity 0.83)
- SF3D: Stable Fast 3D Mesh Reconstruction with UV-unwrapping and Illumination Disentanglement (CVPR 2025 · similarity 0.83)
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