arXiv AI
ELECT: Settling Identity Before Rendering for Scalable Story Visualization
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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...
arXiv Computer Vision
Oct 2
VTR-Bench: A Systematic Benchmark for Evaluating Visual Text Rendering in Video Generation
VTR-Bench is a new benchmark designed to evaluate how well video generation models render text within scenes. It includes 300 prompts across five real-world scenarios such as advertisements and scientific videos, and uses an automated pipeline with human alignment to assess text fidelity and scene/motion requirements. Experiments on 11 state‑of‑the‑art models show that even the best performer has a word error rate of 0.250, underscoring widespread challenges in visual text rendering.
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.
arXiv Computer Vision
Oct 16
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.
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...
arXiv Computer Vision
Sep 30
Beyond Legibility: Benchmarking Visual Text Rendering and In-Place Editing in Unified Video Generation
arXiv:2609.36598v1 Announce Type: new Abstract: A video can exhibit convincing motion and photorealism yet fail immediately when visual text collapses. Unlike generic scene content, visual text is un...