mlsanityData to 7 Oct 2026

World Observer: Joint Actor-Observer Generation for Persistent World Modeling

arXiv 2610.02162 ↗First posted 1 Oct 2026cs.CVcited by 0

On the map: World models → Video-generation world models and simulators also fits: World models for navigation

Abstract (arXiv)

How can a world model continuously observe regions beyond the actor's current view? Video world models simulate how an environment evolves from an agent's actions, yet remain actor-centric. Once an object leaves the actor's view, they lose direct evidence of its evolution, often failing to preserve its state and dynamics upon re-entry. To address this, we introduce World Observer, which decouples observing from acting by jointly generating a perspective actor for the agent-centric view with one or more panoramic observers that watch selected world regions. This allows objects that leave the actor's view to remain visually evolving in an observer, so their updated states are reflected when they re-enter. We ground the actor and observers by warping from a shared panoramic source for explicit geometric correspondence, and introduce an Observer Sink of high-resolution perspective references to restore fine appearance upon re-entry. Since the observers are decoupled from the actor, they can be placed freely across the scene, extended to multiple locations for broader coverage, and driven by control signals to steer out-of-view evolution. To evaluate out-of-view evolution, we further introduce world-space metrics and a benchmark spanning real and synthetic scenes. World Observer substantially improves out-of-view dynamics while remaining competitive in visual fidelity, camera control, and 3D adherence.

Key facts. No citing papers in the map yet (data through 7 Oct 2026). Placed in Video-generation world models and simulators, one of 11 directions in World models. Builds on 57 of its 60 references that are in the map. First posted on arXiv 1 Oct 2026.

Builds on

57 of 60 references.

Closest ancestors · 26

Same direction, newest first

  1. 2026PanoWorld: Real-World Panoramic Generation10 Jul
  2. 2026WorldDirector: Building Controllable World Simulators with Persistent Dynamic Memory2 Jul
  3. 2026MemoBench: Benchmarking World Modeling in Dynamically Changing Environments25 Jun
  4. 2026Current World Models Lack a Persistent State Core18 Jun
  5. 2026DreamX-World 1.0: A General-Purpose Interactive World Model15 Jun
  6. 2026Teaching Video Generators to Remember: Eliciting Dynamic Memory for Out-of-Sight State Evolution25 May
  7. 2026PanoWorld: Geometry-Consistent Panoramic Video World Modeling14 May
  8. 2026HY-World 2.0: A Multi-Modal World Model for Reconstructing, Generating, and Simulating 3D Worlds15 Apr
  9. 2026Matrix-Game 3.0: Real-Time and Streaming Interactive World Model with Long-Horizon Memory10 Apr
  10. 2026Out of Sight but Not Out of Mind: Hybrid Memory for Dynamic Video World Models26 Mar
  11. 2026MosaicMem: Hybrid Spatial Memory for Controllable Video World Models17 Mar
  12. 2026Grounding World Simulation Models in a Real-World Metropolis16 Mar
14 more
  1. 2026Out of Sight, Out of Mind? Evaluating State Evolution in Video World Models13 Mar
  2. 2026LiveWorld: Simulating Out-of-Sight Dynamics in Generative Video World Models7 Mar
  3. 2026Advancing Open-source World Models28 Jan
  4. 2025Astra: General Interactive World Model with Autoregressive Denoising9 Dec
  5. 2025Hunyuan-GameCraft-2: Instruction-following Interactive Game World Model28 Nov
  6. 2025MagicWorld: Towards Long-Horizon Stability for Interactive Video World Exploration24 Nov
  7. 2025EvoWorld: Evolving Panoramic World Generation with Explicit 3D Memory1 Oct
  8. 2025FantasyWorld: Geometry-Consistent World Modeling via Unified Video and 3D Prediction25 Sep
  9. 2025Video World Models with Long-term Spatial Memory5 Jun
  10. 2025WorldMem: Long-term Consistent World Simulation with Memory16 Apr
  11. 2025Wan: Open and Advanced Large-Scale Video Generative Models26 Mar
  12. 2024Open-Sora: Democratizing Efficient Video Production for All29 Dec
  13. 2024CogVideoX: Text-to-Video Diffusion Models with An Expert Transformer12 Aug
  14. 2022Flow Matching for Generative Modeling6 Oct

Other references · 31

  1. 2018The Unreasonable Effectiveness of Deep Features as a Perceptual Metriccited by 11,029
  2. 2021RoFormer: Enhanced Transformer with Rotary Position Embeddingcited by 4,581
  3. 2023VBench: Comprehensive Benchmark Suite for Video Generative Modelscited by 1,755
  4. 2017Decoupled Weight Decay Regularizationcited by 1,722
  5. 2024HunyuanVideo: A Systematic Framework For Large Video Generative Modelscited by 1,597
  6. 2018Towards Accurate Generative Models of Video: A New Metric & Challengescited by 1,204
  7. 2025SAM 3: Segment Anything with Conceptscited by 835
  8. 2025Cosmos World Foundation Model Platform for Physical AIcited by 833
  9. 2025Depth Anything 3: Recovering the Visual Space from Any Viewscited by 626
  10. 2025Self Forcing: Bridging the Train-Test Gap in Autoregressive Video Diffusioncited by 569
  11. 2024From Slow Bidirectional to Fast Autoregressive Video Diffusion Modelscited by 401
  12. 2021Light Field Networks: Neural Scene Representations with Single-Evaluation Renderingcited by 330
19 more
  1. 2017GANs Trained by a Two Time-Scale Update Rule Converge to a Local Nash Equilibriumcited by 208
  2. 2025World Simulation with Video Foundation Models for Physical AIcited by 183
  3. 2025Context as Memory: Scene-Consistent Interactive Long Video Generation with Memory Retrievalcited by 157
  4. 2025VMem: Consistent Interactive Video Scene Generation with Surfel-Indexed View Memorycited by 102
  5. 2024GeoCalib: Learning Single-image Calibration with Geometric Optimizationcited by 50
  6. 2024360+x: A Panoptic Multi-modal Scene Understanding Datasetcited by 35
  7. 2025CubeDiff: Repurposing Diffusion-Based Image Models for Panorama Generationcited by 35
  8. 2025OmniNWM: Omniscient Driving Navigation World Modelscited by 32
  9. 2024DynamicScaler: Seamless and Scalable Video Generation for Panoramic Scenescited by 24
  10. 2025PanoWan: Lifting Diffusion Video Generation Models to 360deg with Latitude/Longitude-aware Mechanismscited by 22
  11. 2026OmniRoam: World Wandering via Long-Horizon Panoramic Video Generationcited by 15
  12. 2025Beyond the Frame: Generating 360 Panoramic Videos from Perspective Videoscited by 14
  13. 2026WorldKV: Efficient World Memory with World Retrieval and Compressioncited by 14
  14. 2026CubeComposer: Spatio-Temporal Autoregressive 4K 360deg Video Generation from Perspective Videocited by 8
  15. 2025PanoWorld-X: Generating Explorable Panoramic Worlds via Sphere-Aware Video Diffusioncited by 7
  16. 2026360Anything: Geometry-Free Lifting of Images and Videos to 360degcited by 7
  17. 2026Pantheon360: Taming Digital Twin Generation via 3D-Aware 360deg Video Diffusioncited by 4
  18. 2025TanDiT: Tangent-Plane Diffusion Transformer for High-Quality 360deg Panorama Generationcited by 3
  19. 2026SphericalDreamer: Generating Navigable Immersive 3D Worlds with Panorama Fusioncited by 2

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