AI RESEARCH
Soap2Soap: Long Cinematic Video Remaking via Multi-Agent Collaboration
arXiv CS.CV
•
ArXi:2605.17423v1 Announce Type: new We study series-level cinematic remaking, a long-horizon video-to-video generation problem that localizes full episodes or films via stylization or actor replacement while strictly preserving narrative structure, motion choreography, and character identity across hundreds of shots. Existing video generation and editing pipelines often break down in this regime due to compounding identity drift, background mutation, and semantic erosion under large camera motions and viewpoint changes.