mlsanityData to 7 Oct 2026

AutoDirector: Online Auto-scheduling Agents for Multi-sensory Composition

arXiv 2408.11564 ↗First posted 21 Aug 2024cs.CVcited by 1

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Abstract (arXiv)

With the advancement of generative models, the synthesis of different sensory elements such as music, visuals, and speech has achieved significant realism. However, the approach to generate multi-sensory outputs has not been fully explored, limiting the application on high-value scenarios such as of directing a film. Developing a movie director agent faces two major challenges: (1) Lack of parallelism and online scheduling with production steps: In the production of multi-sensory films, there are complex dependencies between different sensory elements, and the production time for each element varies. (2) Diverse needs and clear communication demands with users: Users often cannot clearly express their needs until they see a draft, which requires human-computer interaction and iteration to continually adjust and optimize the film content based on user feedback. To address these issues, we introduce AutoDirector, an interactive multi-sensory composition framework that supports long shots, special effects, music scoring, dubbing, and lip-syncing. This framework improves the efficiency of multi-sensory film production through automatic scheduling and supports the modification and improvement of interactive tasks to meet user needs. AutoDirector not only expands the application scope of human-machine collaboration but also demonstrates the potential of AI in collaborating with humans in the role of a film director to complete multi-sensory films.

Key facts. Cited by 1 paper in the map (data through 7 Oct 2026). Builds on 13 of its 23 references that are in the map. First posted on arXiv 21 Aug 2024.

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13 of 23 references.

References · 13

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  11. 2023DirecT2V: Large Language Models are Frame-Level Directors for Zero-Shot Text-to-Video Generationcited by 47
  12. 2020Video Generative Adversarial Networks: A Reviewcited by 33
1 more
  1. 2024DreamFrame: Enhancing Video Understanding via Automatically Generated QA and Style-Consistent Keyframescited by 12

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