FilmAgent: A Multi-Agent Framework for End-to-End Film Automation in
  Virtual 3D Spaces
Virtual film production requires intricate decision-making processes,
including scriptwriting, virtual cinematography, and precise actor positioning
and actions. Motivated by recent advances in automated decision-making with
language agent-based societies, this paper introduces FilmAgent, a novel
LLM-based multi-agent collaborative framework for end-to-end film automation in
our constructed 3D virtual spaces. FilmAgent simulates various crew roles,
including directors, screenwriters, actors, and cinematographers, and covers
key stages of a film production workflow: (1) idea development transforms
brainstormed ideas into structured story outlines; (2) scriptwriting elaborates
on dialogue and character actions for each scene; (3) cinematography determines
the camera setups for each shot. A team of agents collaborates through
iterative feedback and revisions, thereby verifying intermediate scripts and
reducing hallucinations. We evaluate the generated videos on 15 ideas and 4 key
aspects. Human evaluation shows that FilmAgent outperforms all baselines across
all aspects and scores 3.98 out of 5 on average, showing the feasibility of
multi-agent collaboration in filmmaking. Further analysis reveals that
FilmAgent, despite using the less advanced GPT-4o model, surpasses the
single-agent o1, showing the advantage of a well-coordinated multi-agent
system. Lastly, we discuss the complementary strengths and weaknesses of
OpenAI's text-to-video model Sora and our FilmAgent in filmmaking.
6791b688f0ecdeb1a89e35d2
Zhenran Xu
claimed_verified
2025-01-23T09:17:51.418Z
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Zhenran Xu
user
imryanxu
6791b688f0ecdeb1a89e35d3
Longyue Wang
admin_assigned
2025-01-23T09:35:44.815Z
636b030c328133bdb3a523bc
/avatars/15d5d5403fef2f1368bb4185b199061d.svg
Longyue Wang
user
longyuewang
6791b688f0ecdeb1a89e35d4
Jifang Wang
admin_assigned
2025-01-23T09:35:50.208Z
670fcb3ffe84ac0ce43a8507
/avatars/6c6e7cf19b0b71f32e7dae8f1521976b.svg
Jifang Wang
user
PigCatchingExpert
6791b688f0ecdeb1a89e35d5
Zhouyi Li
admin_assigned
2025-01-23T09:36:08.559Z
6464484a4b34d49ac754c8ba
/avatars/503af8204a70abd3d4c0e30f5590f608.svg
Li-Zhouyi
user
Li-Zhouyi
6791b688f0ecdeb1a89e35d6
Senbao Shi
6791b688f0ecdeb1a89e35d7
Xue Yang
6791b688f0ecdeb1a89e35d8
Yiyu Wang
6791b688f0ecdeb1a89e35d9
Baotian Hu
6791b688f0ecdeb1a89e35da
Jun Yu
6791b688f0ecdeb1a89e35db
Min Zhang
FilmAgent: A Multi-Agent Framework for End-to-End Film Automation in
  Virtual 3D Spaces
Virtual film production requires intricate decision-making processes,
including scriptwriting, virtual cinematography, and precise actor positioning
and actions. Motivated by recent advances in automated decision-making with
language agent-based societies, this paper introduces FilmAgent, a novel
LLM-based multi-agent collaborative framework for end-to-end film automation in
our constructed 3D virtual spaces. FilmAgent simulates various crew roles,
including directors, screenwriters, actors, and cinematographers, and covers
key stages of a film production workflow: (1) idea development transforms
brainstormed ideas into structured story outlines; (2) scriptwriting elaborates
on dialogue and character actions for each scene; (3) cinematography determines
the camera setups for each shot. A team of agents collaborates through
iterative feedback and revisions, thereby verifying intermediate scripts and
reducing hallucinations. We evaluate the generated videos on 15 ideas and 4 key
aspects. Human evaluation shows that FilmAgent outperforms all baselines across
all aspects and scores 3.98 out of 5 on average, showing the feasibility of
multi-agent collaboration in filmmaking. Further analysis reveals that
FilmAgent, despite using the less advanced GPT-4o model, surpasses the
single-agent o1, showing the advantage of a well-coordinated multi-agent
system. Lastly, we discuss the complementary strengths and weaknesses of
OpenAI's text-to-video model Sora and our FilmAgent in filmmaking.
FilmAgent, a multi-agent collaborative framework based on LLMs, automates film production processes including scriptwriting, cinematography, and actor positioning, outperforming other models in human evaluations.
LLM-based multi-agent film automation 3D virtual spaces directors screenwriters actors cinematographers iterative feedback hallucinations human evaluation GPT-4o OpenAI's Sora text-to-video