syCen/CameraBench
📷 CameraBench: Towards Understanding Camera Motions in Any Video SfMs and VLMs performance on CameraBench: Generative VLMs (evaluated with VQAScore) trail classical SfM/SLAM in pure geometry, yet they outperform discriminative VLMs that rely on CLIPScore/ITMScore and—even better—capture scene‑aware semantic cues missed by SfM After simple supervised fine‑tuning (SFT) on ≈1,400 extra annotated clips, our 7B Qwen2.5‑VL doubles its AP, outperforming the current best… See the full description on the dataset page: https://huggingface.co/datasets/syCen/CameraBench.
| Author / organization | syCen |
|---|---|
| License (as declared) | cc-by-4.0 |
| Downloads | 6.6K (as reported by Hugging Face) |
| Likes | 37 |
| Created | 23 April 2025 |
| Last updated at source | 30 July 2025 |
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