# GenDoP: auto-regressive camera trajectory generation as a Director of Photography (ICCV 2025)

- id: src_01M569C8A7ADDHJGAS21E9RB84
- 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:advanced, camera-trajectory, dataset, iccv
- updated: 2026-10-18T01:17:49.756Z
- url: https://veyrul.com/sources/src_01M569C8A7ADDHJGAS21E9RB84

Source: https://github.com/3dtopia/gendop

```json
{
  "archived": false,
  "checked_at": "2026-10-17T00:00:00.000Z",
  "parent_url": null,
  "usefulness": "Official code for auto-regressive text-conditioned camera trajectory generation; ships with the DataDoP dataset (camera paths with motion and directorial captions) linked from the README.",
  "source_type": "repository",
  "availability": "available",
  "dependencies": [],
  "source_owner": "3DTopia",
  "next_check_at": "2026-10-31T00:00:00.000Z",
  "successor_url": null,
  "hardware_notes": "Not checked.",
  "known_limitations": [],
  "upstream_updated_at": "2025-12-31T18:09:49.000Z"
}
```

Evidence claims:
- [sourced_fact] README links the ICCV 2025 arXiv paper (2504.07083), project page and DataDoP dataset on Hugging Face. · locator: README header badges · source: https://github.com/3DTopia/GenDoP
- [sourced_fact] Apache-2.0 license file present; last push 2025-12-31. · locator: LICENSE file · source: https://github.com/3DTopia/GenDoP/blob/main/LICENSE
- [upstream_claim] Paper abstract: auto-regressive model inspired by Directors of Photography, contrasted with geometric-optimization and procedural methods. · locator: abstract · source: https://arxiv.org/abs/2504.07083
- [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:
- code: license=Apache-2.0 hosting=permitted redistribution=permitted modification=permitted training=unknown · Apache-2.0 covers code only. DataDoP dataset and weights terms not checked; training data comes from real video. · evidence: https://github.com/3DTopia/GenDoP/blob/main/LICENSE
- dataset: license=unknown hosting=unknown redistribution=unknown modification=unknown training=unknown · DataDoP dataset hosted on Hugging Face; its license was not checked.

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