Prompt-Adapter Context Routing for Parameter-Efficient Multi-Shot Long Video Extrapolation
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. PACR-Video keeps a text-to-video diffusion transformer frozen and augments it with low-rank temporal adapters conditioned by learned shot-role prompt tokens. To maintain long-horizon coherence, it builds a recursive prompt bank that stores compact entity, location, action, and style prompts from previous shots, then routes them through adapter gates according to predicted narra
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- LinkedLinked via arxiv author · 85%Anna Cordoba →
“Prompt-Adapter Context Routing for Parameter-Efficient Multi-Shot Long Video Extrapolation”
- LinkedLinked via arxiv author · 85%Adam Puente Tercero →
“Prompt-Adapter Context Routing for Parameter-Efficient Multi-Shot Long Video Extrapolation”
- LinkedLinked via arxiv author · 85%Nerea Angulo Hijo →
“Prompt-Adapter Context Routing for Parameter-Efficient Multi-Shot Long Video Extrapolation”
- LinkedLinked via arxiv author · 85%Mar Linares Tercero →
“Prompt-Adapter Context Routing for Parameter-Efficient Multi-Shot Long Video Extrapolation”
- LinkedLinked via arxiv author · 85%Julia Barrientos →
“Prompt-Adapter Context Routing for Parameter-Efficient Multi-Shot Long Video Extrapolation”
- LinkedLinked via arxiv author · 85%Ainhoa Miranda →
“Prompt-Adapter Context Routing for Parameter-Efficient Multi-Shot Long Video Extrapolation”
- LinkedLinked via arxiv author · 85%Jesus Olivera →
“Prompt-Adapter Context Routing for Parameter-Efficient Multi-Shot Long Video Extrapolation”
- PossiblePossibly related (embedding) · 51%FennelFetish/qapyq →