Make-A-Storyboard: A General Framework for Storyboard with Disentangled and Merged Control
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Abstract (arXiv)
Story Visualization aims to generate images aligned with story prompts, reflecting the coherence of storybooks through visual consistency among characters and scenes.Whereas current approaches exclusively concentrate on characters and neglect the visual consistency among contextually correlated scenes, resulting in independent character images without inter-image coherence.To tackle this issue, we propose a new presentation form for Story Visualization called Storyboard, inspired by film-making, as illustrated in Fig.1.Specifically, a Storyboard unfolds a story into visual representations scene by scene. Within each scene in Storyboard, characters engage in activities at the same location, necessitating both visually consistent scenes and characters.For Storyboard, we design a general framework coined as Make-A-Storyboard that applies disentangled control over the consistency of contextual correlated characters and scenes and then merge them to form harmonized images.Extensive experiments demonstrate 1) Effectiveness.the effectiveness of the method in story alignment, character consistency, and scene correlation; 2) Generalization. Our method could be seamlessly integrated into mainstream Image Customization methods, empowering them with the capability of story visualization.
Key facts. Cited by 7 papers in the map (data through 7 Oct 2026). Builds on 45 of its 48 references that are in the map. First posted on arXiv 6 Dec 2023.
Builds on
45 of 48 references.
References · 45
- 2021Learning Transferable Visual Models From Natural Language Supervisioncited by 33,456
- 2020Denoising Diffusion Probabilistic Modelscited by 20,851
- 2021High-Resolution Image Synthesis with Latent Diffusion Modelscited by 18,694
- 2021Diffusion Models Beat GANs on Image Synthesiscited by 8,185
- 2023Segment Anythingcited by 8,158
- 2015Deep Unsupervised Learning using Nonequilibrium Thermodynamicscited by 7,005
- 2022Hierarchical Text-Conditional Image Generation with CLIP Latentscited by 6,539
- 2022Photorealistic Text-to-Image Diffusion Models with Deep Language Understandingcited by 6,322
- 2018A Style-Based Generator Architecture for Generative Adversarial Networkscited by 5,986
- 2022Generative Adversarial Networkscited by 5,603
- 2017Neural Discrete Representation Learningcited by 4,650
- 2021GLIDE: Towards Photorealistic Image Generation and Editing with Text-Guided Diffusion Modelscited by 3,595
33 more
- 2022DreamBooth: Fine Tuning Text-to-Image Diffusion Models for Subject-Driven Generationcited by 3,286
- 2023Grounding DINO: Marrying DINO with Grounded Pre-Training for Open-Set Object Detectioncited by 3,274
- 2018Large Scale GAN Training for High Fidelity Natural Image Synthesiscited by 2,609
- 2021CLIPScore: A Reference-free Evaluation Metric for Image Captioningcited by 2,388
- 2022An Image is Worth One Word: Personalizing Text-to-Image Generation using Textual Inversioncited by 2,231
- 2022Scaling Autoregressive Models for Content-Rich Text-to-Image Generationcited by 1,287
- 2021Alias-Free Generative Adversarial Networkscited by 1,181
- 2022Multi-Concept Customization of Text-to-Image Diffusioncited by 1,099
- 2021Blended Diffusion for Text-driven Editing of Natural Imagescited by 924
- 2021Vector Quantized Diffusion Model for Text-to-Image Synthesiscited by 773
- 2023Attend-and-Excite: Attention-Based Semantic Guidance for Text-to-Image Diffusion Modelscited by 696
- 2022Compositional Visual Generation with Composable Diffusion Modelscited by 619
- 2022Paint by Example: Exemplar-based Image Editing with Diffusion Modelscited by 489
- 2022Blended Latent Diffusioncited by 430
- 2023ELITE: Encoding Visual Concepts into Textual Embeddings for Customized Text-to-Image Generationcited by 414
- 2022Training-Free Structured Diffusion Guidance for Compositional Text-to-Image Synthesiscited by 386
- 2023InstantBooth: Personalized Text-to-Image Generation without Test-Time Finetuningcited by 343
- 2023FastComposer: Tuning-Free Multi-Subject Image Generation with Localized Attentioncited by 313
- 2023Subject-Diffusion:Open Domain Personalized Text-to-Image Generation without Test-time Fine-tuningcited by 191
- 2023TF-ICON: Diffusion-Based Training-Free Cross-Domain Image Compositioncited by 182
- 2018StoryGAN: A Sequential Conditional GAN for Story Visualizationcited by 137
- 2022Make-A-Story: Visual Memory Conditioned Consistent Story Generationcited by 76
- 2023Intelligent Grimm -- Open-ended Visual Storytelling via Latent Diffusion Modelscited by 76
- 2022StoryDALL-E: Adapting Pretrained Text-to-Image Transformers for Story Continuationcited by 74
- 2023TaleCrafter: Interactive Story Visualization with Multiple Characterscited by 71
- 2022Synthesizing Coherent Story with Auto-Regressive Latent Diffusion Modelscited by 69
- 2018Imagine This! Scripts to Compositions to Videoscited by 54
- 2021Integrating Visuospatial, Linguistic and Commonsense Structure into Story Visualizationcited by 51
- 2021Improving Generation and Evaluation of Visual Stories via Semantic Consistencycited by 43
- 2022Character-Centric Story Visualization via Visual Planning and Token Alignmentcited by 32
- 2023Zero-shot Generation of Coherent Storybook from Plain Text Story using Diffusion Modelscited by 26
- 2022Word-Level Fine-Grained Story Visualizationcited by 22
- 2023Improved Visual Story Generation with Adaptive Context Modelingcited by 22
Built on by
Citing papers per year: 2023: 1; 2024: 2; 2025: 4.
7 papers.
- 2024MovieDreamer: Hierarchical Generation for Coherent Long Visual Sequencecited by 85
- 2025Generative AI for Cel-Animation: A Surveycited by 17
- 2024StoryWeaver: A Unified World Model for Knowledge-Enhanced Story Character Customizationcited by 9
- 2023CogCartoon: Towards Practical Story Visualizationcited by 8
- 2025CookingDiffusion: Cooking Procedural Image Generation with Stable Diffusioncited by 4
- 2025FairyGen: Storied Cartoon Video from a Single Child-Drawn Charactercited by 4
- 2025StorySync: Training-Free Subject Consistency in Text-to-Image Generation via Region Harmonizationcited by 1
- 2025StorySync: Training-Free Subject Consistency in Text-to-Image Generation via Region Harmonization31 Jul 2025
- 2025FairyGen: Storied Cartoon Video from a Single Child-Drawn Character26 Jun 2025
- 2025CookingDiffusion: Cooking Procedural Image Generation with Stable Diffusion15 Jan 2025
- 2025Generative AI for Cel-Animation: A Survey8 Jan 2025
- 2024StoryWeaver: A Unified World Model for Knowledge-Enhanced Story Character Customization10 Dec 2024
- 2024MovieDreamer: Hierarchical Generation for Coherent Long Visual Sequence23 Jul 2024
- 2023CogCartoon: Towards Practical Story Visualization17 Dec 2023