guluthemonster/M3VIR
M³VIR In the field of restoration and 3D reconstruction, particularly for rendered content such as gaming environments, the lack of sufficient ground-truth training data presents a significant challenge. While these techniques are extensively studied in real-world applications, their adaptation to virtual or synthetic environments remains relatively underexplored. This is largely due to the distinct characteristics of rendered content, which differ from natural scenes in terms… See the full description on the dataset page: https://huggingface.co/datasets/guluthemonster/M3VIR.
| Author / organization | guluthemonster |
|---|---|
| License (as declared) | mit |
| Downloads | 360 (as reported by Hugging Face) |
| Likes | 1 |
| Created | 16 April 2025 |
| Last updated at source | 23 September 2025 |
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360 now (+47 since 2026-10-16). Counts as reported by the source, snapshotted daily by Silytics.
Recent changes
- 16 Oct 2026 Description: M³VIR In the field of restoration and 3D reconstruction, particularly for rendered content such as gaming environments, the lack of sufficient ground-truth training data presents a significant challenge. While these techniques are extensive → M³VIR In the field of restoration and 3D reconstruction, particularly for rendered content such as gaming environments, the lack of sufficient ground-truth training data presents a significant challenge. While these techniques are extensive
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