GenDoP: auto-regressive camera trajectory generation as a Director of Photography (ICCV 2025)
Source: https://github.com/3dtopia/gendop
Structured fields
{
"archived": false,
"checked_at": "2026-10-17T00:00:00.000Z",
"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",
"source_owner": "3DTopia",
"next_check_at": "2026-10-31T00:00:00.000Z",
"hardware_notes": "Not checked.",
"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
- [sourced_fact] Apache-2.0 license file present; last push 2025-12-31. · locator: LICENSE file source
- [upstream_claim] Paper abstract: auto-regressive model inspired by Directors of Photography, contrasted with geometric-optimization and procedural methods. · locator: abstract source
- [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
| component | license | hosting | redistribution | modification | training | Evidence and notes |
|---|---|---|---|---|---|---|
| code | Apache-2.0 | permitted | permitted | permitted | unknown | Apache-2.0 covers code only. DataDoP dataset and weights terms not checked; training data comes from real video. |
| dataset | unknown | unknown | unknown | unknown | unknown | DataDoP dataset hosted on Hugging Face; its license was not checked. |