Visual Storytelling

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23 papers4 papers in the last four weeks, up 33% on the four weeks before. 0.0% of all new papers.

Not Just a Subject: Capturing Adaptive Scene-Specific Variance for Visual Storytelling
Oct 15, 2026SeungJu Cha, Ye-Chan Kim, Kwanyoung Lee +1Visual Storytelling T2I Generation
Hanyang University, Seoul 04763, South Korea
ELECT: Settling Identity Before Rendering for Scalable Story Visualization
Oct 11, 2026Mehrajul Abadin Miraj, Md. Mahmudul Hasan, Meherun Farzana +9Visual Storytelling
University of Dhaka
SENSE: State-aware Emotion Navigation Storytelling Engine
Oct 6, 2026Yi Xia, Pablo Carrasco Velo, Mudit Paliwal +5Interactive Storytelling Narrative Generation
Graduate School of Information Science and Engineering, Ritsumeikan University, Ibaraki, Japan · College of Information Science and Engineering, Ritsumeikan University, Ibaraki, Japan · Faculty of Information Technology and Communication Sciences, Tampere University, Tampere, Finland
SubjectAnchor: Subject-Aware Memory-to-Video for Multi-Shot Storytelling
Sep 28, 2026Xinyu Wang, Huafeng Shi, Zian Li +4Video Diffusion Models Memory-Augmented Video Generation
Shenzhen International Graduate School, Tsinghua University · Kling Team · Peking University +1
PACE: Precise AI Cinematic Expression
Sep 17, 2026Bing Duan, Qiang Guo, Linpu Li +6Geometry-Conditioned Image Generation Conditional Image Generation
Studio π
Better Call CineCrew: Consistent Ultra-Long Narrative-to-Film Generation
Sep 7, 2026Jiaben Chen, Sixun Dong, Qinhong Zhou +4Identity-Preserving Video Generation Long Video Generation
University of Massachusetts Amherst, Amherst, MA 01003, USA · Massachusetts Institute of Technology, Cambridge, MA 02139, USA
Sidecar: Training-Free Semantic Reuse for Character-Consistent Free-form Visual Storytelling
Aug 27, 2026Sibo Dong, Sarah Adel BargalVisual Storytelling T2I Diffusion Models
Department of Computer Science, Georgetown University, Washington, D.C., USA
SAGE: Self-Evolving Storyboard Skills via Attribution-Guided Rule Evolution
Aug 18, 2026Maolin Ran, Xiaoyang Lu, Jiaqi Liu +5Visual Storytelling Language Model Self-Improvement
Shanghai Jiao Tong University Shanghai, China · CreativeFitting Shanghai, China
KathaTrace: Diagnosing Semantic Trajectory Collapse in Generated Visual Narratives
Jul 1, 2026Jamuna S. Murthy, Amin Karimi Monsefi, Rajiv RamnathVisual Storytelling Generative AI Evaluation
Ramaiah Institute of Technology · The Ohio State University
FreeStory: Training-Free Character Consistency for Free-Form Visual Storytelling
Jun 23, 2026Sibo Dong, Ismail Shaheen, Sarah Adel BargalConditional Image Generation Image Generation
Department of Computer Science, Georgetown University
DramaDirector: Geometry-Guided Short Drama Generation
Jun 23, 2026Hengji Zhou, Sijie Liu, Jianrun Chen +3T2V Generation Video Generation
Harbin Institute of Technology, Shenzhen · South China University of Technology · The Hong Kong University of Science and Technology (Guangzhou)
S2ED: From Story to Executable Descriptions for Consistency-Aware Story Illustration
May 21, 2026Sijing Yin, Jiamou Liu, Xiao Tang +2T2I Generation Compositional T2I Generation
University of Auckland · Wuhan College of Communication
AttriStory: Fine-grained Attribute Realization for Visual Storytelling with Diffusion Models
May 20, 2026Manogna Sreenivas, Rohit Kumar, Soma BiswasDiffusion Model Guidance Controllable Image Generation
Indian Institute of Science, Bengaluru, India
RealDiffusion: Physics-informed Attention for Multi-character Storybook Generation
May 12, 2026Qi Zhao, Jun Chen, Ivor Tsang +1Diffusion-Based Image Generation Visual Storytelling
Xi’an Jiaotong University, China · Zhejiang Normal University, China · SGIT AI Lab, State Grid Corporation of China +1
ReCap: Lightweight Referential Grounding for Coherent Story Visualization
Apr 20, 2026Aditya Arora, Akshita Gupta, Pau Rodriguez +1Conditional Image Generation Visual Storytelling
Technical University of Darmstadt & hessian.AI, Germany
CANVAS: Continuity-Aware Narratives via Visual Agentic Storyboarding
Apr 15, 2026Ishani Mondal, Yiwen Song, Mihir Parmar +4Visual Storytelling Narrative Generation
University of Maryland, College Park · Google
LogiStory: A Logic-Aware Framework for Multi-Image Story Visualization
Mar 30, 2026Chutian Meng, Fan Ma, Chi Zhang +3Visual Storytelling Causal Reasoning
College of Computer Science and Technology, Zhejiang University, Hangzhou 310027, China
Humans vs Vision-Language Models: A Unified Measure of Narrative Coherence
Mar 26, 2026Nikolai Ilinykh, Hyewon Jang, Shalom Lappin +2Visual Storytelling VLM Evaluation
Dept. of Philosophy, Linguistics, and Theory of Science, University of Gothenburg · School of Electronic Engineering and Computer Science, Queen Mary University of London · Dept. of Informatics, King’s College London
A Text-Native Interface for Generative Video Authoring
Mar 10, 2026Xingyu Bruce Liu, Mira Dontcheva, Dingzeyu LiVisual Storytelling
Adobe Research, San Francisco, CA, USA · Adobe Research, Seattle, WA, USA
MMCOMET: A Large-Scale Multimodal Commonsense Knowledge Graph for Contextual Reasoning
Mar 1, 2026Eileen Wang, Hiba Arnaout, Dhita Pratama +6Visual Storytelling Multimodal KGs
University of Sydney Sydney, Australia · Technische Universität Darmstadt Darmstadt, Germany · University of Melbourne Melbourne, Australia +2
StoryMovie: A Dataset for Semantic Alignment of Visual Stories with Movie Scripts and Subtitles
Feb 25, 2026Daniel Oliveira, David Martins de MatosVisual Storytelling Vision-Language Alignment
INESC-ID Lisboa, R. Alves Redol 9, 1000-029 Lisboa, Portugal · Instituto Superior Técnico, Universidade de Lisboa, Av. Rovisco Pais, 1049-001 Lisboa, Portugal
StoryTailor:A Zero-Shot Pipeline for Action-Rich Multi-Subject Visual Narratives
Feb 24, 2026Jinghao Hu, Yuhe Zhang, GuoHua Geng +2Visual Storytelling Multi-Shot Video Generation
College of Computer Science, Northwest University
Natural Language Generation from Visual Events: State-of-the-Art and Key Open Questions
Feb 18, 2025Aditya K Surikuchi, Raquel Fernández, Sandro PezzelleVisual Storytelling Multimodal Learning
Institute for Logic, Language and Computation (ILLC), University of Amsterdam, Netherlands

Oct 15, 2026J/K move · Enter open · S save

Not Just a Subject: Capturing Adaptive Scene-Specific Variance for Visual Storytelling

SeungJu Cha, Ye-Chan Kim, Kwanyoung Lee, Dong-Jin Kim

Hanyang University, Seoul 04763, South Korea

Visual Storytelling T2I Generation T2I Diffusion Models Compositional T2I Generation

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Recent advancements in diffusion models have significantly improved text-to-image generation, enabling their application to visual storytelling, where coherent image sequences are generated from narrative prompts. However, existing methods primarily focus on identity preservation and often fail to adapt to diverse scene variations, resulting in semantic misalignment and structural inflexibility. We propose EOS-Story, a training-free framework that harmonizes identity consistency with scene-specific adaptation across text and vision spaces. In the text space, we decouple the narrative into identity and scene sub-prompts to prevent information dilution, but this leaves the scene without access to appearance cues. To bridge this gap, we introduce Cross-Contextual Bridging, which softly injects a phrase-level appearance residual into the scene's <EOS> embedding. In the vision space, we find that scale mismatch between identity and scene subjects causes a few identity tokens to be repeatedly transferred, producing structural artifacts. We address this with Adaptive Identity Preservation, which anchors identity features at the scene-specific scale (Identity Anchoring) and integrates them via Identity-Aware Self-Attention. To evaluate performance under varied spatial compositions, we extend the Consistory+ benchmark with diverse framing scenarios (Consistory+_+). Extensive experiments show that EOS-Story achieves competitive or superior performance on both benchmarks.