Infinite Worlds with Versatile Interactions
- URL: http://arxiv.org/abs/2607.07534v1
- Date: Wed, 08 Jul 2026 15:33:25 GMT
- Title: Infinite Worlds with Versatile Interactions
- Abstract summary: LingBot-World 2.0 (also known as LingBot-World-Infinity) is an advanced iteration of LingBot-World.<n>This update introduces highly diverse interactive elements, comprising a broader spectrum of actions.<n>To facilitate a shared experience, we develop an interface that permits multiple players to simultaneously immerse themselves in this vivid world simulator.
- Score: 72.56254206708059
- License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
- Abstract: We present LingBot-World 2.0 (also known as LingBot-World-Infinity), an advanced iteration of LingBot-World featuring four distinct upgrades. (1) Our model achieves an unbounded interaction horizon while maintaining consistent output quality, benefiting from a carefully crafted causal pretraining paradigm. (2) Through distilling a real-time variant from the base model, our system guarantees rapid response time, sufficient to drive 720p video streams at 60 fps. (3) Compared to the previous version, this update introduces highly diverse interactive elements, comprising a broader spectrum of actions (e.g., attacking, archery, spell-casting, and shooting) alongside a richer variety of text-driven events. (4) We pioneer the integration of an agentic harness within the domain of world modeling, wherein a pilot agent is tasked with planning and executing character behaviors, while a director agent is responsible for synthesizing novel environmental elements as the scene progresses. Additionally, to facilitate a shared experience, we develop an interface that permits multiple players to simultaneously immerse themselves in this vivid world simulator. We pair our primary 14B model with a lightweight 1.3B counterpart, which supports effortless deployment on a single GPU.
Related papers
- ABot-World-0: Infinite Interactive World Rollout on a Single Desktop GPU [41.37131555577374]
ABot-World-0 is an action-conditioned video world model for real-time, long-horizon closed-loop interaction.<n>WorldExplorer performs agent-driven collection guided by training feedback.<n> unified pipeline applies 14 deterministic quality checks, VLM-based assessment, and synchronized action and text annotation.
arXiv Detail & Related papers (2026-07-21T15:26:50Z) - AlayaWorld: Interactive Long-Horizon World Modeling -- Full Technical Report [39.20781986625199]
AlayaWorld is an interactive long-horizon video world model that generates 24-fps video at 540p and 720p.<n>Built on a 15B video diffusion transformer, AlayaWorld generates short latent chunks autoregressively under camera trajectories.<n>On iWorld-Bench, AlayaWorld achieves the best performance over long-horizon generation.
arXiv Detail & Related papers (2026-07-20T17:15:41Z) - Multiplayer Interactive World Models with Representation Autoencoders [28.451678067070777]
We introduce the first multiplayer world model for highly dynamic environments governed by complex physical interactions.<n>We study this problem in the game of Rocket League, where players compete and cooperate under fast, tightly coupled dynamics.
arXiv Detail & Related papers (2026-07-06T17:31:52Z) - Gamma-World: Generative Multi-Agent World Modeling Beyond Two Players [87.87842088508553]
We present our generative multi-agent world model for interactive simulation.<n>Our model improves video fidelity, action controllability, and inter-agent consistency over slot-based and dense-attention baselines.
arXiv Detail & Related papers (2026-05-27T17:59:31Z) - ActionParty: Multi-Subject Action Binding in Generative Video Games [117.52562594944679]
ActionParty is a controllable multi-subject world model for generative video games.<n>We demonstrate the first video world model capable of controlling up to seven players simultaneously across 46 diverse environments.
arXiv Detail & Related papers (2026-04-02T17:59:58Z) - MultiGen: Level-Design for Editable Multiplayer Worlds in Diffusion Game Engines [55.641812280108574]
We introduce an explicit external memory into the system that is continually updated by user actions and queried throughout the generation roll-out.<n>This design gives users direct, editable control over environment structure via an editable memory representation.<n>It naturally extends to real-time multiplayer rollouts with coherent viewpoints and consistent cross-player interactions.
arXiv Detail & Related papers (2026-03-03T18:58:17Z) - Solaris: Building a Multiplayer Video World Model in Minecraft [25.935990718354176]
Existing action-conditioned video generation models (video world models) are limited to single-agent perspectives.<n>We introduce Solaris, a multiplayer video world model that simulates consistent multi-view observations.<n>We collect 12.64 million multiplayer frames and propose an evaluation framework for multiplayer movement, memory, grounding, building, and view consistency.
arXiv Detail & Related papers (2026-02-25T18:59:01Z) - Causal World Modeling for Robot Control [56.31803788587547]
Video world models provide the ability to imagine the near future by understanding the causality between actions and visual dynamics.<n>We introduce LingBot-VA, an autoregressive diffusion framework that learns frame prediction and policy execution simultaneously.<n>We evaluate our model on both simulation benchmarks and real-world scenarios, where it shows significant promise in long-horizon manipulation, data efficiency in post-training, and strong generalizability to novel configurations.
arXiv Detail & Related papers (2026-01-29T17:07:43Z) - Animate Any Character in Any World [61.112404900403284]
We introduce AniX, leveraging the realism and structural grounding of static world generation.<n>Users can provide a 3DGS scene and a character, then direct the character through natural language to perform diverse behaviors.<n>AiX synthesizes temporally coherent video clips that preserve visual fidelity with the provided scene and character.
arXiv Detail & Related papers (2025-12-18T18:59:18Z) - Hunyuan-GameCraft-2: Instruction-following Interactive Game World Model [19.937724706042804]
Hunyuan-GameCraft-2 is a new paradigm of instruction-driven interaction for generative game world modeling.<n>Our model allows users to control game video contents through natural language prompts, keyboard, or mouse signals.<n>Our model generates temporally coherent and causally grounded interactive game videos.
arXiv Detail & Related papers (2025-11-28T18:26:39Z) - Matrix-Game 2.0: An Open-Source, Real-Time, and Streaming Interactive World Model [15.16063778402193]
Matrix-Game 2.0 is an interactive world model generates long videos on-the-fly via few-step auto-regressive diffusion.<n>It can generate high-quality minute-level videos across diverse scenes at an ultra-fast speed of 25 FPS.
arXiv Detail & Related papers (2025-08-18T15:28:53Z)
This list is automatically generated from the titles and abstracts of the papers in this site.
This site does not guarantee the quality of this site (including all information) and is not responsible for any consequences.