Wizard is an agentic game world model that allows real‑time, precise control over character motions while generalizing zero‑shot across new scenes, characters, and actions. It builds on a dataset of 750 scenes and 178 characters, using skeleton and geometry representations as structured proxies to condition a video generation model and an adaptive masking mechanism to improve alignment. The framework explicitly maintains and updates game states, enabling players to freely configure virtual worlds and exercise fine‑grained control while preserving visual quality and gameplay consistency.
arXiv:2608.24680v1 Announce Type: new Abstract: Video games provide a scalable source of training data for video world models, offering diverse environments, complex interactions, and abundant in-the...
The paper introduces Code World Model, a framework that decouples world evolution from visual rendering by using a coding agent as a world brain. The agent reasons about events, generates executable code to maintain persistent state, and a proxy representation links this state to a video model for high‑fidelity visual output. Experiments with MiniMax‑H3 show that the system can follow proxy‑based spatiotemporal specifications while preserving rich visual dynamics, illustrating a new approach to open‑ended world modeling.
arXiv:2611.07867v1 Announce Type: cross Abstract: Building a playable world requires more than generating plausible video: it demands responsive control, persistent spatial structure, and coherent in...
arXiv:2609.25652v1 Announce Type: new Abstract: Recent game world models support realistic visual simulation and interactive gameplay based on player inputs. However, they typically learn environment...
arXiv:2609.10540v1 Announce Type: new Abstract: Recent video world models generate increasingly realistic and interactive visual experiences, yet lack reliable mechanisms for maintaining persistent w...
arXiv:2609.01560v1 Announce Type: cross Abstract: We present H3-World, an efficient framework that turns the 33B MiniMax-H3 video generator into an interactive world model. Our key finding is that, a...
GameVerse is a new minute‑scale gameplay video dataset designed to support long‑horizon interactive world modeling. It contains 69.7K clips totaling 1,655 hours and 349.6 million frames, including 1,358 hours of continuous two‑minute sequences—an order of magnitude longer than prior datasets. Each clip is processed through a unified pipeline that provides scene‑consistent segmentation, quality filtering, camera pose estimation, and event‑based caption annotation, with temporally stable camera trajectories and captions that distinguish static context from dynamic events.
DyCraft is an agentic system that generates long‑horizon 4D animated 3D scenes by decomposing the task into a detailed plan, a static scene, and a 3D storyboard of key poses. Each storyboard frame is a static scene that the agent can build and debug independently, allowing local motion to be authored with verified start and end states. In evaluations on 24 multi‑shot animation tasks, DyCraft reduces physical violations and produces higher‑quality scenes that are more often preferred by human raters compared to native GPT‑6 agents and prior baselines.
arXiv:2608.29910v1 Announce Type: new Abstract: Interactive world models extend video generation from offline clip synthesis toward persistent simulation of interactive virtual worlds, enabling appli...
arXiv:2610.07031v1 Announce Type: new Abstract: Recent video world models have witnessed the paradigm shift from single-agent to multi-agent involvements, which can reveal more complicated dynamics a...
4DSynth is a controllable procedural system that transforms natural-language descriptions, blueprint masks, or single photographs into editable 4D environments featuring explicit geometry, animated actors, collision-free trajectories, and physics-ready simulation states. The system unifies animation, camera planning, rendering, and task generation within a single geometry-grounded representation, enabling scalable creation of dynamic embodied simulation scenes. Using 4DSynth, the authors built 4DSynth-Nav, an interactive navigation benchmark that demonstrates the reproducibility and tunability of procedural failures across vision‑language models.
arXiv:2606. 02753v1 Announce Type: cross Abstract: Video world models are a foundational generative technology for embodied AI and the Metaverse, yet existing approaches are inherently limited to a single agent observing from a single perspective.