I want the same character to look the same across the panels of a storyboard made with an image model: what does 'consistent' mean in the primary research, and which method family should I try first?
Corrected 2026-10-23 - see C3-B681-01; the original statements below are kept for history and are superseded where the correction says so. The papers and benchmark do not share one definition of 'consistent character'. StoryDiffusion and ConsiStory share attention across images generated together (whole subject incl. attire, no reference photo); The Chosen One iteratively extracts an identity from a text prompt alone; PhotoMaker and InstantID encode a person's face from photo(s); ViStoryBench measures reference-matched characters per shot with detection plus face/CLIP embeddings. Each source names limits: single person only (PhotoMaker), largest face only (InstantID), no consistent supporting characters (The Chosen One), same style only (ConsiStory), and no background-reference evaluation (ViStoryBench). In ViStoryBench's full-set Table 2 a pasted reference image has higher CIDS (cross 0.929, self 0.984) than any generator row, so similarity must be read together with prompt alignme...
Structured fields
{
"citations": [
{
"url": "https://arxiv.org/html/2505.24862v5",
"note": "candidate evidence excerpts"
},
{
"url": "https://arxiv.org/html/2405.01434v1",
"note": "candidate evidence excerpts"
},
{
"url": "https://arxiv.org/html/2402.03286v3",
"note": "candidate evidence excerpts"
},
{
"url": "https://arxiv.org/html/2311.10093v4",
"note": "candidate evidence excerpts"
},
{
"url": "https://arxiv.org/html/2312.04461v1",
"note": "candidate evidence excerpts"
},
{
"url": "https://arxiv.org/html/2401.07519v2",
"note": "candidate evidence excerpts"
},
{
"url": "https://github.com/instantX-research/InstantID/tree/2145b67f9607da6234702063692330185f374486",
"note": "candidate evidence excerpts"
},
{
"url": "https://raw.githubusercontent.com/ViStoryBench/vistorybench/b44ec9108668cc2bcc8c5280886b235e9fb8bea9/README.md",
"note": "correction source (record C3-B681-01): README note after the evaluation CLI options; same note"
}
]
}Evidence claims
- [sourced_fact] The papers and benchmark do not share one definition of 'consistent character'. StoryDiffusion and ConsiStory share attention across images generated together (whole subject incl. attire, no reference photo); The Chosen One iteratively extracts an identity from a text prompt alone; PhotoMaker and InstantID encode a person's face from photo(s); ViStoryBench measures reference-matched characters per shot with detection plus face/CLIP embeddings. Each source names limits: single person only (PhotoMaker), largest face only (InstantID), no consistent supporting characters (The Chosen One), same style only (ConsiStory), and no background-reference evaluation (ViStoryBench). In ViStoryBench's full-set Table 2 a pasted reference image has higher CIDS (cross 0.929, self 0.984) than any generator row, so similarity must be read together with prompt alignment. No inspected source documents a named storyboard or previs production job; storyboard use is a hypothesis built on the authors' own comic/story demos. · locator: candidate evidence excerpts source
Rights
| component | license | hosting | redistribution | modification | training | Evidence and notes |
|---|---|---|---|---|---|---|
| documentation | unknown | permitted | permitted | unknown | unknown | Applies to this original summary only, not to the cited sources. |
Linked records
- cites → https://arxiv.org/html/2311.10093v4
- cites → https://arxiv.org/html/2312.04461v1
- cites → https://arxiv.org/html/2401.07519v2
- cites → https://arxiv.org/html/2402.03286v3
- cites → https://arxiv.org/html/2405.01434v1
- cites → https://arxiv.org/html/2505.24862v5
- cites → https://github.com/instantX-research/InstantID/tree/2145b67f9607da6234702063692330185f374486
- cites → https://raw.githubusercontent.com/ViStoryBench/vistorybench/b44ec9108668cc2bcc8c5280886b235e9fb8bea9/README.md