Intelligent Grimm -- Open-ended Visual Storytelling via Latent Diffusion Models
On the map: Diffusion models → Image generation, text-to-image and editing
Abstract (arXiv)
Generative models have recently exhibited exceptional capabilities in text-to-image generation, but still struggle to generate image sequences coherently. In this work, we focus on a novel, yet challenging task of generating a coherent image sequence based on a given storyline, denoted as open-ended visual storytelling. We make the following three contributions: (i) to fulfill the task of visual storytelling, we propose a learning-based auto-regressive image generation model, termed as StoryGen, with a novel vision-language context module, that enables to generate the current frame by conditioning on the corresponding text prompt and preceding image-caption pairs; (ii) to address the data shortage of visual storytelling, we collect paired image-text sequences by sourcing from online videos and open-source E-books, establishing processing pipeline for constructing a large-scale dataset with diverse characters, storylines, and artistic styles, named StorySalon; (iii) Quantitative experiments and human evaluations have validated the superiority of our StoryGen, where we show StoryGen can generalize to unseen characters without any optimization, and generate image sequences with coherent content and consistent character. Code, dataset, and models are available at https://haoningwu3639.github.io/StoryGen_Webpage/
Key facts. Cited by 76 papers in the map (data through 7 Oct 2026). Placed in Image generation, text-to-image and editing, one of 14 directions in Diffusion models. Builds on 57 of its 72 references that are in the map. First posted on arXiv 1 Jun 2023.
Builds on
57 of 72 references.
Closest ancestors · 8
Same direction, newest first
- 2023Adding Conditional Control to Text-to-Image Diffusion Models10 Feb
- 2022Synthesizing Coherent Story with Auto-Regressive Latent Diffusion Models20 Nov
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- 2022Imagic: Text-Based Real Image Editing with Diffusion Models17 Oct
- 2022Photorealistic Text-to-Image Diffusion Models with Deep Language Understanding23 May
- 2022Hierarchical Text-Conditional Image Generation with CLIP Latents13 Apr
- 2021GLIDE: Towards Photorealistic Image Generation and Editing with Text-Guided Diffusion Models20 Dec
- 2021Blended Diffusion for Text-driven Editing of Natural Images29 Nov
Other references · 49
- 2017Attention Is All You Needcited by 59,932
- 2018BERT: Pre-training of Deep Bidirectional Transformers for Language Understandingcited by 40,204
- 2021Learning Transferable Visual Models From Natural Language Supervisioncited by 33,456
- 2020Denoising Diffusion Probabilistic Modelscited by 20,851
- 2015U-Net: Convolutional Networks for Biomedical Image Segmentationcited by 19,604
- 2021High-Resolution Image Synthesis with Latent Diffusion Modelscited by 18,694
- 2014Microsoft COCO: Common Objects in Contextcited by 17,498
- 2019Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformercited by 14,491
- 2021LoRA: Low-Rank Adaptation of Large Language Modelscited by 14,084
- 2020Denoising Diffusion Implicit Modelscited by 9,655
- 2015Deep Unsupervised Learning using Nonequilibrium Thermodynamicscited by 7,005
- 2021Emerging Properties in Self-Supervised Vision Transformerscited by 6,893
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- 2022Classifier-Free Diffusion Guidancecited by 5,717
- 2022Generative Adversarial Networkscited by 5,603
- 2017Neural Discrete Representation Learningcited by 4,650
- 2022BLIP: Bootstrapping Language-Image Pre-training for Unified Vision-Language Understanding and Generationcited by 4,310
- 2021Zero-Shot Text-to-Image Generationcited by 4,276
- 2022Robust Speech Recognition via Large-Scale Weak Supervisioncited by 3,972
- 2021Improved Denoising Diffusion Probabilistic Modelscited by 3,736
- 2023MiniGPT-4: Enhancing Vision-Language Understanding with Advanced Large Language Modelscited by 2,689
- 2022Prompt-to-Prompt Image Editing with Cross Attention Controlcited by 2,409
- 2022Video Diffusion Modelscited by 2,280
- 2021SDEdit: Guided Image Synthesis and Editing with Stochastic Differential Equationscited by 1,903
- 2023Consistency Modelscited by 1,778
- 2022Imagen Video: High Definition Video Generation with Diffusion Modelscited by 1,765
- 2022Make-A-Video: Text-to-Video Generation without Text-Video Datacited by 1,725
- 2022RePaint: Inpainting using Denoising Diffusion Probabilistic Modelscited by 1,419
- 2022YOLOv7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectorscited by 978
- 2022Tune-A-Video: One-Shot Tuning of Image Diffusion Models for Text-to-Video Generationcited by 958
- 2023Pick-a-Pic: An Open Dataset of User Preferences for Text-to-Image Generationcited by 950
- 2017AttnGAN: Fine-Grained Text to Image Generation with Attentional Generative Adversarial Networkscited by 664
- 2023Structure and Content-Guided Video Synthesis with Diffusion Modelscited by 589
- 2016StackGAN: Text to Photo-realistic Image Synthesis with Stacked Generative Adversarial Networkscited by 575
- 2023BLIP-Diffusion: Pre-trained Subject Representation for Controllable Text-to-Image Generation and Editingcited by 438
- 2023TEXTure: Text-Guided Texturing of 3D Shapescited by 303
- 2022SmartBrush: Text and Shape Guided Object Inpainting with Diffusion Modelcited by 276
- 2017StackGAN++: Realistic Image Synthesis with Stacked Generative Adversarial Networkscited by 229
- 2016Visual Storytellingcited by 176
- 2023NUWA-XL: Diffusion over Diffusion for eXtremely Long Video Generationcited by 170
- 2018StoryGAN: A Sequential Conditional GAN for Story Visualizationcited by 137
- 2023Hierarchical Integration Diffusion Model for Realistic Image Deblurringcited by 87
- 2023ChatGPT Asks, BLIP-2 Answers: Automatic Questioning Towards Enriched Visual Descriptionscited by 86
- 2022StoryDALL-E: Adapting Pretrained Text-to-Image Transformers for Story Continuationcited by 74
- 2023TaleCrafter: Interactive Story Visualization with Multiple Characterscited by 71
- 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
- 2022Word-Level Fine-Grained Story Visualizationcited by 22
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Citing papers per year: 2023: 5; 2024: 28; 2025: 30; 2026: 13.
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