Advancing Open-source World Models

We present LingBot-World, an open-sourced world simulator stemming from video generation. Positioned as a top-tier world model, LingBot-World offers the following features. (1) It maintains high fidelity and robust dynamics in a broad spectrum of environments, including realism, scientific contexts, cartoon styles, and beyond. (2) It enables a minute-level horizon while preserving contextual consistency over time, which is also known as "long-term memory". (3) It supports real-time interactivity, achieving a latency of under 1 second when producing 16 frames per second. We provide public access to the code and model in an effort to narrow the divide between open-source and closed-source technologies. We believe our release will empower the community with practical applications across areas like content creation, gaming, and robot learning.

WorldPlay: TowardsLong-Term Geometric…WorldPlay: Towards Long-Term Geometric Consistency for Real-Time Interactive World ModelingMatrix-Game 2.0: AnOpen-Source, Real-Time…Matrix-Game 2.0: An Open-Source, Real-Time, and Streaming Interactive World ModelMatrix-Game: InteractiveWorld Foundation ModelMatrix-Game: Interactive World Foundation ModelYume-1.5: AText-Controlled…Yume-1.5: A Text-Controlled Interactive World Generation ModelRELIC: Interactive VideoWorld Model with…RELIC: Interactive Video World Model with Long-Horizon MemoryHunyuan-GameCraft-2:Instruction-following…Hunyuan-GameCraft-2: Instruction-following Interactive Game World ModelReward Forcing:Efficient Streaming…Reward Forcing: Efficient Streaming Video Generation with Rewarded Distribution Matching DistillationWorld Simulation withVideo Foundation Models…World Simulation with Video Foundation Models for Physical AIPAN: A World Model forGeneral, Interactable…PAN: A World Model for General, Interactable, and Long-Horizon World SimulationLongLive: Real-timeInteractive Long Video…LongLive: Real-time Interactive Long Video GenerationMAGI-1: AutoregressiveVideo Generation at…MAGI-1: Autoregressive Video Generation at ScaleSelf Forcing: Bridgingthe Train-Test Gap in…Self Forcing: Bridging the Train-Test Gap in Autoregressive Video DiffusionMagicWorld: InteractiveGeometry-driven Video…MagicWorld: Interactive Geometry-driven Video World ExplorationSANA-WM: EfficientMinute-Scale World…SANA-WM: Efficient Minute-Scale World Modeling with Hybrid Linear Diffusion TransformerMatrix-Game 3.0:Real-Time and Streaming…Matrix-Game 3.0: Real-Time and Streaming Interactive World Model with Long-Horizon MemoryINSPATIO-WORLD: AReal-Time 4D World…INSPATIO-WORLD: A Real-Time 4D World Simulator via Spatiotemporal Autoregressive ModelingOlaf-World: OrientingLatent Actions for Vide…Olaf-World: Orienting Latent Actions for Video World ModelingGrounding WorldSimulation Models in a…Grounding World Simulation Models in a Real-World MetropolisMIND: BenchmarkingMemory Consistency and…MIND: Benchmarking Memory Consistency and Action Control in World ModelsOmni-WorldBench: Towardsa Comprehensive…Omni-WorldBench: Towards a Comprehensive Interaction-Centric Evaluation for World ModelsWBench: A ComprehensiveMulti-turn Benchmark fo…WBench: A Comprehensive Multi-turn Benchmark for Interactive Video World Model EvaluationTowards InteractiveVideo World Modeling…Towards Interactive Video World Modeling: Frontiers, Challenges, Benchmarks, and Future TrendsMBench: A ComprehensiveBenchmark on Memory…MBench: A Comprehensive Benchmark on Memory Capability for Video World ModelsGeometry-Aware ImplicitMemory for Video World…Geometry-Aware Implicit Memory for Video World ModelsAdvancing Open-sourceWorld ModelsAdvancing Open-source World ModelsEarlier referencesFocus paperCiting papersOlderNewer

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