Research map / 3D vision / Depth and stereo
Learning Patch Reconstructability for Accelerating Multi-View Stereo
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| select fewer redundant views per surface region | Patch-wise filtering MVS · DTU | Time per depth map: 15.76s -> 1.31s | Helped |
| select fewer redundant views per surface region | Patch-wise filtering MVS · DTU | F1: 0.190 -> 0.277 | Hurt |
| select fewer redundant views per surface region | Patch-wise filtering MVS · Tanks and Temples | Time per depth map: 30.4s -> 2.9s | Helped |
| select fewer redundant views per surface region | Patch-wise filtering MVS · Tanks and Temples | F1: 0.354 -> 0.306 | Mixed |
| increase coarse-to-fine hierarchy from 1 to 4 levels (ablation) | O-FULL · DTU | Time per depth map: 46.4s -> 14.7s | Helped |
| increase coarse-to-fine hierarchy from 1 to 4 levels (ablation) | O-FULL · DTU | F1: 0.195 -> 0.190 | No clear effect |
| increase coarse-to-fine hierarchy levels (ablation) | O-FULL · DTU | completeness: 0.175 -> 0.165 | Helped |
Closest papers by meaning
- PatchmatchNet: Learned Multi-View Patchmatch Stereo (CVPR 2021 · similarity 0.90)
- Dual-Level Precision Edges Guided Multi-View Stereo with Accurate Planarization (AAAI 2025 · similarity 0.88)
- SD-MVS: Segmentation-Driven Deformation Multi-View Stereo with Spherical Refinement and EM Optimization (AAAI 2024 · similarity 0.87)
- MSP-MVS: Multi-Granularity Segmentation Prior Guided Multi-View Stereo (AAAI 2025 · similarity 0.87)
- DVP-MVS: Synergize Depth-Edge and Visibility Prior for Multi-View Stereo (AAAI 2025 · similarity 0.87)
- SuperNormal: Neural Surface Reconstruction via Multi-View Normal Integration (CVPR 2024 · similarity 0.87)
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