Results for SCION-MonSter
Submission data
| Full name | Structurally-compressed Content-preserving Iterative Optimized Network |
| Description | Our research focuses on bridging the performance-efficiency gap in stereo matching by developing SCION-MonSter, a lightweight stereo depth estimation model derived from the state-of-the-art MonSter architecture. |
| Programming language(s) | Python+CUDA |
| Hardware | RTX4090D |
| Website | https://github.com/rayring539/Monsterl-ite |
| Source code or download URL | https://github.com/rayring539/Monsterl-ite.git |
| Submission creation date | 31 Mar, 2026 |
| Last edited | 31 Mar, 2026 |
High-res multi-view results
| Info | all | high-res multi-view | indoor | outdoor | courty. | delive. | electro | facade | kicker | meadow | office | pipes | playgr. | relief | relief. | terrace | terrai. |
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Low-res many-view results
| Info | all | low-res many-view | indoor | outdoor | lakeside | sand box | storage room | storage room 2 | tunnel |
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| No results yet. | |||||||||
