Research map / 3D vision / Depth and stereo
Learning Monocular Depth Estimation Infusing Traditional Stereo Knowledge
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| Add SGM proxy supervision (ablation) | monoResMatch · KITTI Eigen split (K) | Abs Rel: 0.116 -> 0.111 | Helped |
| Add the disparity refinement module (ablation) | monoResMatch · KITTI Eigen split (CS,K) | Abs Rel: 0.107 -> 0.096 | Helped |
| Add correlation-based matching to refinement (ablation) | monoResMatch · KITTI Eigen split (CS,K) | Abs Rel: 0.104 -> 0.098 | Helped |
| Add disparity refinement without matching correlation (ablation) | monoResMatch · KITTI Eigen split (CS,K) | Abs Rel: 0.107 -> 0.104 | Helped |
| Add test-time post-processing (ablation) | monoResMatch · KITTI Eigen split (CS,K) | Abs Rel: 0.098 -> 0.096 | Helped |
| Pretrain on CityScapes before KITTI training (ablation) | monoResMatch · KITTI Eigen split, max depth 80m | Abs Rel: 0.116 -> 0.096 | Helped |
| Use monoResMatch instead of SVS | KITTI 2015 Stereo Benchmark · KITTI 2015 Stereo Benchmark test | D1-all: 24.44 -> 21.72 | Helped |
Closest papers by meaning
- Single View Stereo Matching (CVPR 2018 · similarity 0.92)
- MonSter: Marry Monodepth to Stereo Unleashes Power (CVPR 2025 · similarity 0.88)
- DepthFM: Fast Generative Monocular Depth Estimation with Flow Matching (AAAI 2025 · similarity 0.88)
- FoundationStereo: Zero-Shot Stereo Matching (CVPR 2025 · similarity 0.88)
- Stereo Anywhere: Robust Zero-Shot Deep Stereo Matching Even Where Either Stereo or Mono Fail (CVPR 2025 · similarity 0.88)
- A Simple yet Universal Framework for Depth Completion (NeurIPS 2024 · similarity 0.88)
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