arXiv Computer Vision

Sidecar: Training-Free Semantic Reuse for Character-Consistent Free-form Visual Storytelling

Sidecar is a plug‑and‑play semantic augmentation module that preserves entity‑level information from a character’s initial description and injects missing semantics into later prompt embeddings, enabling training‑free character consistency in free‑form visual storytelling. It works with existing diffusion models without architectural changes and incurs negligible computational overhead. Experiments on FreeStoryBench demonstrate consistent improvements in prompt‑image alignment and character consistency across SDXL and FLUX baselines.

arXiv Computer Vision

3d ago

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

EOS-Story is a training‑free framework that improves visual storytelling by balancing identity consistency with scene‑specific adaptation. It separates narrative prompts into identity and scene sub‑prompts and introduces Cross‑Contextual Bridging to inject appearance cues into the scene embedding. In the vision space, Adaptive Identity Preservation aligns identity features to the scene scale and uses Identity‑Aware Self‑Attention to avoid structural artifacts, achieving competitive results on the extended Consistory+ benchmark.

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

rag diffusion benchmarks

Hugging Face Trending Papers

3d ago

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

EOS-Story is a training‑free framework that improves visual storytelling by balancing identity consistency with scene‑specific adaptation. It separates narrative prompts into identity and scene sub‑prompts, then uses Cross‑Contextual Bridging to inject appearance cues into the scene embedding. In the vision space, Adaptive Identity Preservation aligns identity features to the scene scale and employs Identity‑Aware Self‑Attention to avoid structural artifacts, achieving strong results on the Consistory+_+ benchmark.

rag diffusion benchmarks

Hugging Face Trending Papers

Aug 24

SEAM: Shot Entity-Attribute Memory for Consistent Short-Drama Generation at Scale

Short-drama generation has grown into a large, industrialized pipeline, and as it scales from isolated shots to the episode level, visual continuity has become a critical bottleneck. Current agent fra...

agents benchmarks

arXiv AI

Aug 25

SEAM: Shot Entity-Attribute Memory for Consistent Short-Drama Generation at Scale

arXiv:2608.22725v1 Announce Type: new Abstract: Short-drama generation has grown into a large, industrialized pipeline, and as it scales from isolated shots to the episode level, visual continuity ha...

By Jiaqi Liu, Maolin Ran, Xiaoyang Lu, Jian Wang, Weiwen Liu, Jianghao Lin, Yong Yu, Weinan Zhang

agents benchmarks

arXiv AI

Oct 5

Weave Forcing: Compositional Memory Routing for Interactive Long Video Generation

Weave Forcing is a training‑free framework that enhances interactive long video generation by enabling compositional memory routing. It uses an LLM to split user prompts into character and background slots, then applies masked memory weaving with semantic masks to selectively retrieve relevant historical references. The method also introduces coverage‑adaptive RoPE to adjust temporal offsets based on reference coverage, reducing visual artifacts and improving cross‑shot consistency while preserving visual quality and text alignment.

By Ziyi Wang, Junchi Yao, Heqian Qiu, Wenbo Shi, Chengjiu Wang, Jinyang He, Binkai Hong, Hongliang Li

llms diffusion safety

arXiv Computer Vision

Aug 26

ASemConsist: Adaptive Semantic Feature Control for Training-Free Identity-Consistent Generation

arXiv:2512.23245v3 Announce Type: replace Abstract: Recent text-to-image diffusion models have significantly improved visual quality and text alignment. However, generating a sequence of images while...

By Shin Seong Kim, Minjung Shin, Hyunin Cho, Youngjung Uh

rag diffusion benchmarks safety

arXiv Computation and Language

Sep 30

POET: Preference Optimization for Enhanced Text-to-Image Generation

arXiv:2510.12041v3 Announce Type: replace Abstract: Recent advances in text-to-image (T2I) generation have achieved impressive results, yet existing models often struggle with simple or underspecifie...

By Ruibo Chen, Jiacheng Pan, Heng Huang, Zhenheng Yang

llms diffusion reinforcement-learning fine-tuning multimodal benchmarks safety

arXiv AI

Jun 2

DetailMaster: Can Your Text-to-Image Model Handle Long Prompts?

arXiv:2505. 16915v3 Announce Type: replace-cross Abstract: While recent Text-to-Image (T2I) models show impressive capabilities in synthesizing images from brief descriptions, they struggle with the long, detailed prompts required for professional applications.

By Qirui Jiao, Daoyuan Chen, Yilun Huang, Xika Lin, Ying Shen, Yaliang Li

diffusion benchmarks

arXiv AI

Jul 8

Prompt-Adapter Context Routing for Parameter-Efficient Multi-Shot Long Video Extrapolation

arXiv:2607. 06481v1 Announce Type: cross Abstract: We present PACR-Video, a parameter-efficient framework for multi-shot long video extrapolation that preserves recurring entities, scene structure, visual style, and causal progression without full generator fine-tuning.

By Anna C\'ordoba, Adam Puente Tercero, Nerea Angulo Hijo, Mar Linares Tercero, Julia Barrientos, Ainhoa Miranda, Jes\'us Olivera

llms diffusion fine-tuning efficiency benchmarks safety

arXiv AI

Jun 26

LCG: Long-Context Consistent Image Generation with Sparse Relational Attention

arXiv:2606. 26171v1 Announce Type: cross Abstract: Recent image generation models achieve impressive quality in single-image synthesis, but often fail to maintain consistency across sequential outputs, as required in comics, storyboards, and visual narratives.

By Zihao Wang, Yijia Xu, Haoze Zheng, Xuran Ma, Haokun Gui, Harry Yang

diffusion safety

arXiv Computer Vision

Sep 30

Complementary Retrieval-Augmented Prompting for Consistent Long-Form Video Generation

arXiv:2609.37407v1 Announce Type: new Abstract: While recent video foundation models excel at generating high-quality short videos, long-form video generation remains a critical challenge, where a ma...

By Xianghan Wei, Xiaoda Yang, Zhi Wang, An Pan, Daoan Zhang, Huayi Zhang, Yan Zhang, Wei Xu, Zishun Liao, Jianwen Lou

llms rag agents diffusion multimodal

arXiv AI

Sep 16

Efficient Multimodal Generative Recommendation with Latent Narrative Reasoning

arXiv:2609.16070v1 Announce Type: cross Abstract: Generative recommendation reformulates item prediction as semantic identifier generation, yet episodic content introduces a fundamentally different s...

By Chenxing Wang, Nantao Zheng, Hao Miao, Juyuan Wang, Xinke Jiang, Yuchen Fang, Aolin Li, Haijun Wu

multimodal benchmarks

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