Position: Interactive Generative Video as Next-Generation Game Engine
Modern game development faces significant challenges in creativity and cost
due to predetermined content in traditional game engines. Recent breakthroughs
in video generation models, capable of synthesizing realistic and interactive
virtual environments, present an opportunity to revolutionize game creation. In
this position paper, we propose Interactive Generative Video (IGV) as the
foundation for Generative Game Engines (GGE), enabling unlimited novel content
generation in next-generation gaming. GGE leverages IGV's unique strengths in
unlimited high-quality content synthesis, physics-aware world modeling,
user-controlled interactivity, long-term memory capabilities, and causal
reasoning. We present a comprehensive framework detailing GGE's core modules
and a hierarchical maturity roadmap (L0-L4) to guide its evolution. Our work
charts a new course for game development in the AI era, envisioning a future
where AI-powered generative systems fundamentally reshape how games are created
and experienced.
67e16a266280a70b45b8a16c
Jiwen Yu
admin_assigned
2025-03-25T09:05:33.251Z
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Jiwen Yu
user
VictorYuki
67e16a266280a70b45b8a16d
Yiran Qin
67e16a266280a70b45b8a16e
Haoxuan Che
admin_assigned
2025-03-25T09:06:13.592Z
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Haoxuan Che
user
chehx
67e16a266280a70b45b8a16f
Quande Liu
67e16a266280a70b45b8a170
Xintao Wang
admin_assigned
2025-03-25T09:06:29.181Z
60e272ca6c78a8c122b12127
https://cdn-avatars.huggingface.co/v1/production/uploads/60e272ca6c78a8c122b12127/xldEGBzGrU-bX6IwAw0Ie.jpeg
Xintao Wang
user
Xintao
67e16a266280a70b45b8a171
Pengfei Wan
claimed_verified
2025-04-03T08:29:19.119Z
662f93942510ef5735d7ad00
https://cdn-avatars.huggingface.co/v1/production/uploads/662f93942510ef5735d7ad00/ZIDIPm63sncIHFTT5b0uR.png
magicwpf
user
magicwpf
67e16a266280a70b45b8a172
Di Zhang
admin_assigned
2025-03-25T09:06:50.971Z
644c8324f02250233d0d67d9
/avatars/feb39d281457c1750f3eada3c060a23e.svg
Di Zhang
user
dizhang
67e16a266280a70b45b8a173
Xihui Liu
admin_assigned
2025-03-25T09:06:56.864Z
65d5ec74cd05bc1eaa125040
/avatars/2de1b1539a86452c2c89570eeb02f5ab.svg
Xihui Liu
user
XihuiLiu
Position: Interactive Generative Video as Next-Generation Game Engine
Modern game development faces significant challenges in creativity and cost
due to predetermined content in traditional game engines. Recent breakthroughs
in video generation models, capable of synthesizing realistic and interactive
virtual environments, present an opportunity to revolutionize game creation. In
this position paper, we propose Interactive Generative Video (IGV) as the
foundation for Generative Game Engines (GGE), enabling unlimited novel content
generation in next-generation gaming. GGE leverages IGV's unique strengths in
unlimited high-quality content synthesis, physics-aware world modeling,
user-controlled interactivity, long-term memory capabilities, and causal
reasoning. We present a comprehensive framework detailing GGE's core modules
and a hierarchical maturity roadmap (L0-L4) to guide its evolution. Our work
charts a new course for game development in the AI era, envisioning a future
where AI-powered generative systems fundamentally reshape how games are created
and experienced.
A new framework for generative game engines using Interactive Generative Video to enable endless creation of realistic, interactive virtual environments with AI-driven capabilities.
Interactive Generative Video GGE Generative Game Engines unlimited content generation physics-aware modeling user-controlled interactivity long-term memory causal reasoning