Hybrid Cinematography is a workflow that combines physical capture with generative video reshooting to manage hallucination risk. It uses an editable 3D shot plan and a proxy of the take to evaluate hallucination risk in real time, allowing filmmakers to adjust plans, shoot guided pickups, or accept hallucination. The approach is demonstrated through a mobile AR app for on‑set planning and an offline pipeline for existing video, and a study with experienced filmmakers shows how risk previsualization informs camera decisions and highlights tensions between creative intent and generative hallucination.
By Nhan (Nathan), Tran, Neal Wadhwa, Abe Davis, Stefan Stojanov
arXiv:2603.11421v2 Announce Type: replace
Abstract: Text-driven video generation has democratized film creation, but camera control in cinematic multi-shot scenarios remains a significant block. Impl...
By Songlin Yang, Zhe Wang, Xuyi Yang, Songchun Zhang, Xianghao Kong, Taiyi Wu, Xiaotong Zhao, Ran Zhang, Alan Zhao, Anyi Rao
arXiv:2607. 22959v1 Announce Type: cross Abstract: AI-generated video is increasingly used across marketing, product storytelling, and creative workflows, yet automated; high-precision quality control remains a major constraint to scaling production.
By Aniket Sakpal, Yang Jiang, Rouzbeh Davoudi, Shayan Hassantabar, Mani Najmabadi
arXiv:2604.03315v2 Announce Type: replace
Abstract: Storyboarding is a core skill in visual storytelling for film, animation, and games. However, automating this process requires a system to achieve...
By Bingliang Li, Zhenhong Sun, Jiaming Bian, Yuehao Wu, Yifu Wang, Hongdong Li, Yatao Bian, Huadong Mo, Daoyi Dong
arXiv:2609.24955v1 Announce Type: cross
Abstract: Visual instructions for physical tasks are typically authored in one context and followed in another, requiring users to translate demonstrated tools...
By Muzhe Wu, Zuchen Li, Xu Wang, Anhong Guo
FilmFlow is an agentic framework that transforms natural‑language instructions or reference videos into explicit camera trajectories for dynamic 3D environments. It uses a Director agent that composes high‑level motions from concurrent atomic operations, supported by Interpreter, Scout, and Critic agents for intent extraction, viewpoint selection, and iterative refinement. The authors also introduce CinemaBench, a benchmark of 150 Blender scenes with 750 text‑directed tasks and 60 video‑reference tasks, where FilmFlow outperforms baselines and receives the highest user preference.
By Yiming Zhang, Jiarui Guo, Haojia Wei, Yifei Liu, Yifan Yang, Hongjie Zhang, Xue Yang, Zhihang Zhong