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Story Continuation
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The task involves providing an initial scene that can be obtained in real world use cases. By including this scene, a model can then copy and adapt elements from it as it generates subsequent images.
Source: StoryDALL-E: Adapting Pretrained Text-to-Image Transformers for Story Continuation
논문
이 태스크와 하위 분야의 관련 논문입니다. 실제 성능 비교는 평가 결과에서 확인하세요.
How Far Can We Extract Diverse Perspectives from Large Language Models?
StoryBench: A Multifaceted Benchmark for Continuous Story Visualization
Conveying the Predicted Future to Users: A Case Study of Story Plot Prediction
Synthesizing Coherent Story with Auto-Regressive Latent Diffusion Models
StoryDALL-E: Adapting Pretrained Text-to-Image Transformers for Story Continuation
Telling Stories through Multi-User Dialogue by Modeling Character Relations
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.