Submitted by HongChang Qian.
Submission data
| Full name | High-Fidelity Stereo Matching |
| Description | High-Fidelity Stereo Matching via Monocular–Binocular Context Complementarity and Structure-Guided Upsampling |
| Parameters | step 300000 |
| Programming language(s) | CUDA Python |
| Hardware | A100 |
| Submission creation date | 2 Jan, 2026 |
| Last edited | 2 Jan, 2026 |
High-res multi-view results
Low-res many-view results
Low-res two-view results
SLAM results
| | all |
| Method | Info | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
| No results yet. |