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논문
이 태스크와 하위 분야의 관련 논문입니다. 실제 성능 비교는 평가 결과에서 확인하세요.
ViStoryBench: Comprehensive Benchmark Suite for Story Visualization
Object Isolated Attention for Consistent Story Visualization
Dialogue Director: Bridging the Gap in Dialogue Visualization for Multimodal Storytelling
StoryWeaver: A Unified World Model for Knowledge-Enhanced Story Character Customization
DiffSensei: Bridging Multi-Modal LLMs and Diffusion Models for Customized Manga Generation
Story-Adapter: A Training-free Iterative Framework for Long Story Visualization
DreamStory: Open-Domain Story Visualization by LLM-Guided Multi-Subject Consistent Diffusion
ContextualStory: Consistent Visual Storytelling with Spatially-Enhanced and Storyline Context
Boosting Consistency in Story Visualization with Rich-Contextual Conditional Diffusion Models
Evolving Storytelling: Benchmarks and Methods for New Character Customization with Diffusion Models
StoryImager: A Unified and Efficient Framework for Coherent Story Visualization and Completion
Masked Generative Story Transformer with Character Guidance and Caption Augmentation
Training-Free Consistent Text-to-Image Generation
CogCartoon: Towards Practical Story Visualization
Make-A-Storyboard: A General Framework for Storyboard with Disentangled and Merged Control
StoryGPT-V: Large Language Models as Consistent Story Visualizers
AutoStory: Generating Diverse Storytelling Images with Minimal Human Effort
The Chosen One: Consistent Characters in Text-to-Image Diffusion Models
Style Generation: Image Synthesis based on Coarsely Matched Texts
StoryBench: A Multifaceted Benchmark for Continuous Story Visualization
Story Visualization by Online Text Augmentation with Context Memory
Intelligent Grimm -- Open-ended Visual Storytelling via Latent Diffusion Models
TaleCrafter: Interactive Story Visualization with Multiple Characters
Improved Visual Story Generation with Adaptive Context Modeling
Break-A-Scene: Extracting Multiple Concepts from a Single Image
Counterfactual Edits for Generative Evaluation
An Impartial Transformer for Story Visualization
Make-A-Story: Visual Memory Conditioned Consistent Story Generation
Synthesizing Coherent Story with Auto-Regressive Latent Diffusion Models
Learning to Model Multimodal Semantic Alignment for Story Visualization
Character-Centric Story Visualization via Visual Planning and Token Alignment
StoryDALL-E: Adapting Pretrained Text-to-Image Transformers for Story Continuation
Word-Level Fine-Grained Story Visualization
Integrating Visuospatial, Linguistic and Commonsense Structure into Story Visualization
Improving Generation and Evaluation of Visual Stories via Semantic Consistency
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.