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Story Continuation on DiDeMoSV

Story Continuation on DiDeMoSV

64Visual Quality Win RateSTORYDALL-E

Updated 8mo ago

Evaluation results

Method	Links
STORYDALL-E2022.09		64	0	36	38	0	62	32	48	20

State-of-the-art paper

STORYDALL-E

StoryDALL-E: Adapting Pretrained Text-to-Image Transformers for Story Continuation

Dataset

DiDeMo

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Related benchmarks

Visual Story Generation on PororoSV (test)Story Continuation on FlintstonesSV (test)Visual Story Generation on FlintstonesSV (test)Visual Story Generation on DiDeMoSV (DSV) (test)Story Continuation on PororoSV (val)

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