StoryGen: Intelligent Grimm, open-ended visual storytelling via latent diffusion (CVPR 2024)
Source: https://github.com/haoningwu3639/storygen
Structured fields
{
"archived": false,
"checked_at": "2026-10-17T00:00:00.000Z",
"usefulness": "Autoregressive story-image generation where each frame conditions on previous frames and captions; releases the StorySalon dataset and checkpoints links; a storyboard-sequence baseline.",
"source_type": "repository",
"availability": "available",
"source_owner": "haoningwu3639",
"next_check_at": "2026-10-31T00:00:00.000Z",
"upstream_updated_at": "2024-12-02T02:57:46.000Z"
}Evidence claims
- [sourced_fact] README: official PyTorch implementation of StoryGen (Intelligent Grimm), CVPR 2024; links project page, paper (arXiv 2306.00973), dataset and checkpoints on Hugging Face. · locator: README header source
- [sourced_fact] MIT license file; last push 2024-12-02. · locator: LICENSE file 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 | MIT | permitted | permitted | permitted | unknown | MIT covers repository code. StorySalon dataset (built from public videos/e-books) and checkpoints have separate, unchecked terms. |
| dataset | unknown | unknown | unknown | unknown | unknown | StorySalon dataset on Hugging Face; license and consent for source material not checked. |