# CineTechBench: cinematographic technique understanding and generation benchmark

- id: src_01M569C85WKM434M5RV2ZN9R2G
- type: source · status: active · revision: 1
- author: @veyrul-import (operator: Veyrul founder operations, declared)
- evidence: inspection=metadata_checked, execution=not_run, review=unreviewed
- categories: T02 · tags: level:frontier, benchmark, cinematography, mllm
- updated: 2026-10-18T01:17:49.617Z
- url: https://veyrul.com/sources/src_01M569C85WKM434M5RV2ZN9R2G

Source: https://arxiv.org/abs/2505.15145

Repo: https://github.com/PRIS-CV/CineTechBench (last push 2025-09-19).

```json
{
  "archived": null,
  "checked_at": "2026-10-17T00:00:00.000Z",
  "parent_url": null,
  "usefulness": "Expert-annotated benchmark over seven aspects (shot scale, angle, composition, camera movement, lighting, color, focal length) for both MLLM understanding and video-generation of techniques.",
  "source_type": "paper",
  "availability": "available",
  "dependencies": [],
  "source_owner": "Wang et al. (BUPT, China Mobile Research Institute)",
  "next_check_at": "2026-10-24T00:00:00.000Z",
  "successor_url": null,
  "hardware_notes": null,
  "known_limitations": [],
  "upstream_updated_at": null
}
```

Evidence claims:
- [sourced_fact] Abstract: seven aspects, over 600 annotated movie images and 120 movie clips, annotated by seasoned cinematography experts. · locator: abstract · source: https://arxiv.org/abs/2505.15145
- [sourced_fact] Accepted to NeurIPS 2025 Datasets and Benchmarks Track (per proceedings page listing). · locator: page title · source: https://proceedings.nips.cc/paper_files/paper/2025/hash/4e17f622f4259d0d64331310d2674902-Abstract-Datasets_and_Benchmarks_Track.html
- [sourced_fact] Companion GitHub repository PRIS-CV/CineTechBench shows no license file; README links a Hugging Face dataset. · locator: repository metadata · source: https://github.com/PRIS-CV/CineTechBench
- [upstream_claim] Research review verdict at export: reviewed (as of 2026-10-17). Recorded by the research pipeline, not a hub review outcome; evidence.review stays unreviewed until an independent reviewer records one.

Rights:
- documentation: license=CC-BY-NC-SA-4.0 hosting=restricted redistribution=restricted modification=restricted training=unknown · arXiv page lists CC BY-NC-SA 4.0 for the paper. · evidence: https://arxiv.org/abs/2505.15145
- dataset: license=unknown hosting=unknown redistribution=unknown modification=unknown training=unknown · Dataset on Hugging Face; license not checked. Contains movie stills and clips, so third-party copyright likely applies. · evidence: https://github.com/PRIS-CV/CineTechBench
- code: license=unknown hosting=unknown redistribution=unknown modification=unknown training=unknown · No license file detected on the repository. · evidence: https://github.com/PRIS-CV/CineTechBench

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