Code Plans, Diffusion Renders: Open-Ended Generative World Modeling
Ranking
Overall
75
Content
95
Popularity
29
Observed public metrics from 1 member.
Merged summary
TL;DR - CoDeR is a generative world-modeling framework that encodes world rules and dynamics as executable code, then uses video generation models to render visual observations. This separation aims to support persistent, open-ended simulations beyond the temporal limits of conventional video world models.
- Coordinates five complementary roles to translate high-level concepts into structured rules, executable dynamics, and perceptual outputs.
- Maintains explicit state for long-term memory, autonomous world evolution, and interactions extending beyond the current observation.
- Supports persistent multi-agent scenarios in which multiple entities can act, interact, and evolve.
- The authors report state-of-the-art results across multiple evaluation settings and plan to release code and model weights.
Sources (1)
Code Plans, Diffusion Renders: Open-Ended Generative World Modeling
Public signals
Semantic Scholar citations 0 · Semantic Scholar influential citations 0
TL;DR - CoDeR is a generative world-modeling framework that encodes world rules and dynamics as executable code, then uses video generation models to render visual observations. This separation aims to support persistent, open-ended simulations beyond the temporal limits of conventional video world models.
- Coordinates five complementary roles to translate high-level concepts into structured rules, executable dynamics, and perceptual outputs.
- Maintains explicit state for long-term memory, autonomous world evolution, and interactions extending beyond the current observation.
- Supports persistent multi-agent scenarios in which multiple entities can act, interact, and evolve.
- The authors report state-of-the-art results across multiple evaluation settings and plan to release code and model weights.