Plot'n Polish: Zero-shot Story Visualization and Disentangled Editing with Text-to-Image Diffusion Models
On the map: Diffusion models → Image generation, text-to-image and editing
Abstract (arXiv)
Text-to-image diffusion models have demonstrated significant capabilities to generate diverse and detailed visuals in various domains, and story visualization is emerging as a particularly promising application. However, as their use in real-world creative domains increases, the need for providing enhanced control, refinement, and the ability to modify images post-generation in a consistent manner becomes an important challenge. Existing methods often lack the flexibility to apply fine or coarse edits while maintaining visual and narrative consistency across multiple frames, preventing creators from seamlessly crafting and refining their visual stories. To address these challenges, we introduce Plot'n Polish, a zero-shot framework that enables consistent story generation and provides fine-grained control over story visualizations at various levels of detail.
Key facts. Cited by 1 paper in the map (data through 14 Oct 2026). Placed in Image generation, text-to-image and editing, one of 14 directions in Diffusion models. Builds on 38 of its 42 references that are in the map. First posted on arXiv 4 Sep 2025.
Builds on
38 of 42 references.
Closest ancestors · 14
Same direction, newest first
- 2025One-Prompt-One-Story: Free-Lunch Consistent Text-to-Image Generation Using a Single Prompt23 Jan
- 2024ORACLE: Leveraging Mutual Information for Consistent Character Generation with LoRAs in Diffusion Models4 Jun
- 2024TheaterGen: Character Management with LLM for Consistent Multi-turn Image Generation29 Apr
- 2023LEDITS++: Limitless Image Editing using Text-to-Image Models28 Nov
- 2023The Chosen One: Consistent Characters in Text-to-Image Diffusion Models16 Nov
- 2023IP-Adapter: Text Compatible Image Prompt Adapter for Text-to-Image Diffusion Models13 Aug
- 2023Intelligent Grimm -- Open-ended Visual Storytelling via Latent Diffusion Models1 Jun
- 2023Adding Conditional Control to Text-to-Image Diffusion Models10 Feb
- 2023Zero-shot Generation of Coherent Storybook from Plain Text Story using Diffusion Models8 Feb
- 2022Synthesizing Coherent Story with Auto-Regressive Latent Diffusion Models20 Nov
- 2022InstructPix2Pix: Learning to Follow Image Editing Instructions17 Nov
- 2022UniTune: Text-Driven Image Editing by Fine Tuning a Diffusion Model on a Single Image17 Oct
2 more
Other references · 24
- 2021Learning Transferable Visual Models From Natural Language Supervisioncited by 33,744
- 2020Denoising Diffusion Probabilistic Modelscited by 21,076
- 2015U-Net: Convolutional Networks for Biomedical Image Segmentationcited by 19,713
- 2021High-Resolution Image Synthesis with Latent Diffusion Modelscited by 18,863
- 2023GPT-4 Technical Reportcited by 18,396
- 2021LoRA: Low-Rank Adaptation of Large Language Modelscited by 14,380
- 2018The Unreasonable Effectiveness of Deep Features as a Perceptual Metriccited by 11,177
- 2021Emerging Properties in Self-Supervised Vision Transformerscited by 6,968
- 2023SDXL: Improving Latent Diffusion Models for High-Resolution Image Synthesiscited by 4,356
- 2024Scaling Rectified Flow Transformers for High-Resolution Image Synthesiscited by 4,181
- 2022Prompt-to-Prompt Image Editing with Cross Attention Controlcited by 2,431
- 2022Plug-and-Play Diffusion Features for Text-Driven Image-to-Image Translationcited by 906
12 more
- 2024YOLO-World: Real-Time Open-Vocabulary Object Detectioncited by 503
- 2023TokenFlow: Consistent Diffusion Features for Consistent Video Editingcited by 442
- 2024StoryDiffusion: Consistent Self-Attention for Long-Range Image and Video Generationcited by 247
- 2024Training-Free Consistent Text-to-Image Generationcited by 125
- 2023RAVE: Randomized Noise Shuffling for Fast and Consistent Video Editing with Diffusion Modelscited by 114
- 2022Make-A-Story: Visual Memory Conditioned Consistent Story Generationcited by 76
- 2022StoryDALL-E: Adapting Pretrained Text-to-Image Transformers for Story Continuationcited by 74
- 2023TaleCrafter: Interactive Story Visualization with Multiple Characterscited by 73
- 2024SEED-Story: Multimodal Long Story Generation with Large Language Modelcited by 73
- 2023AutoStory: Generating Diverse Storytelling Images with Minimal Human Effortcited by 38
- 2024StoryImager: A Unified and Efficient Framework for Coherent Story Visualization and Completioncited by 20
- 2024AutoStudio: Crafting Consistent Subjects in Multi-turn Interactive Image Generationcited by 20
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Citing papers per year: 2026: 1.
1 paper.
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- 2024Evolving Storytelling: Benchmarks and Methods for New Character Customization with Diffusion Models
- 2025SceneDecorator: Towards Scene-Oriented Story Generation with Scene Planning and Scene Consistency
- 2023Improved Visual Story Generation with Adaptive Context Modeling
- 2026AttriStory: Fine-grained Attribute Realization for Visual Storytelling with Diffusion Models
- 2026DreamShot: Personalized Storyboard Synthesis with Video Diffusion Prior
- 2025DreamingComics: A Story Visualization Pipeline via Subject and Layout Customized Generation using Video Models
- 2024Boosting Consistency in Story Visualization with Rich-Contextual Conditional Diffusion Models