mlsanityData to 14 Oct 2026

GLIMPSE: Global-Local Indexing with Multi-Precision Spectral Encoding for Explorable Video World Models

arXiv 2610.13706 ↗First posted 9 Oct 2026cs.CVcited by 0

On the map: World models → Video-generation world models and simulators

Abstract (arXiv)

A camera-controlled video world model must keep a scene consistent when the camera returns to it. Memories that render stored features into the target frame can turn depth and pose errors into ghosting or duplicated structure. Positional transport avoids that resampling by relocating a historical patch's address rather than its content, but assigns full positional precision even to inaccurate projections. We present GLIMPSE, a global-local memory interface with band-wise multi-precision coordinates and geometry-conditioned spectral attenuation to reduce sensitivity to inaccurate projected addresses. Local patch memory supplies view-specific appearance, while recurrent global memory provides scene context. Footprint-guided retrieval selects historical patches under a fixed local read budget. Under matched retrieval and read budgets, GLIMPSE improves geometric correspondence and photometric consistency over deterministic positional transport.

Key facts. No citing papers in the map yet (data through 14 Oct 2026). Placed in Video-generation world models and simulators, one of 11 directions in World models. Builds on 38 of its 40 references that are in the map. First posted on arXiv 9 Oct 2026.

Builds on

38 of 40 references.

Closest ancestors · 18

Same direction, newest first

  1. 2026ReWorld: An Interactive World Model with Long-Horizon Memory24 Aug
  2. 2026Addressable Memory for Video World Models7 Aug
  3. 2026MiniWorld: Democratizing the Training of Video World Models from Scratch2 Aug
  4. 2026Wonder: Video World Model Done Better28 Jul
  5. 2026AlayaWorld: Long-Horizon and Playable Video World Generation7 Jul
  6. 2026DreamX-World 1.0: A General-Purpose Interactive World Model15 Jun
  7. 2026Latent Spatial Memory for Video World Models8 Jun
  8. 2026Geometry-Aware Implicit Memory for Video World Models1 Jun
  9. 2026INSPATIO-WORLD: A Real-Time 4D World Simulator via Spatiotemporal Autoregressive Modeling8 Apr
  10. 2026MosaicMem: Hybrid Spatial Memory for Controllable Video World Models17 Mar
  11. 2026UCM: Unified Modeling of Camera Control and Memory with Time-aware Positional Encoding Warping for World Models26 Feb
  12. 2026Infinite-World: Scaling Interactive World Models to 1000-Frame Horizons via Pose-Free Hierarchical Memory2 Feb
6 more
  1. 2025WorldPlay: Towards Long-Term Geometric Consistency for Real-Time Interactive World Modeling16 Dec
  2. 2025Unified Camera Positional Encoding for Controlled Video Generation8 Dec
  3. 2025Video World Models with Long-term Spatial Memory5 Jun
  4. 2025Long-Context State-Space Video World Models26 May
  5. 2025Vid2World: Crafting Video Diffusion Models to Interactive World Models20 May
  6. 2025WorldMem: Long-term Consistent World Simulation with Memory16 Apr

Other references · 20

  1. 2021Mip-NeRF: A Multiscale Representation for Anti-Aliasing Neural Radiance Fieldscited by 1,964
  2. 2025Depth Anything 3: Recovering the Visual Space from Any Viewscited by 692
  3. 2025Continuous 3D Perception Model with Persistent Statecited by 548
  4. 2024CameraCtrl: Enabling Camera Control for Text-to-Video Generationcited by 460
  5. 2025GEN3C: 3D-Informed World-Consistent Video Generation with Precise Camera Controlcited by 341
  6. 2025ReCamMaster: Camera-Controlled Generative Rendering from A Single Videocited by 287
  7. 2022DKM: Dense Kernelized Feature Matching for Geometry Estimationcited by 177
  8. 2025History-Guided Video Diffusioncited by 171
  9. 2025Context as Memory: Scene-Consistent Interactive Long Video Generation with Memory Retrievalcited by 163
  10. 2025WorldScore: A Unified Evaluation Benchmark for World Generationcited by 156
  11. 2025Frame Context Packing and Drift Prevention in Next-Frame-Prediction Video Diffusion Modelscited by 143
  12. 2025TrajectoryCrafter: Redirecting Camera Trajectory for Monocular Videos via Diffusion Modelscited by 125
8 more
  1. 2025VMem: Consistent Interactive Video Scene Generation with Surfel-Indexed View Memorycited by 109
  2. 2025Cameras as Relative Positional Encodingcited by 105
  3. 2025SpatialVID: A Large-Scale Video Dataset with Spatial Annotationscited by 77
  4. 2024GIM: Learning Generalizable Image Matcher From Internet Videoscited by 75
  5. 2026Lyra 2.0: Explorable Generative 3D Worldscited by 44
  6. 2026AnchorWeave: World-Consistent Video Generation with Retrieved Local Spatial Memoriescited by 15
  7. 2025RealCam-Vid: High-resolution Video Dataset with Dynamic Scenes and Metric-scale Camera Movementscited by 14
  8. 2026MeMix: Writing Less, Remembering More for Streaming 3D Reconstructioncited by 8

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  1. 2026WorldCrafter: Consistent Video World Model with Implicit 3D-aware Memory
  2. 2025WorldPack: Dynamic Frame Compression for Long-context Video World Modeling
  3. 2026LOCI: Spatial Linear Memory for Streaming World Models
  4. 2026Compression and Retrieval: Implicit Memory Retrieval for Video World Models
  5. 2026WorldStereo: Bridging Camera-Guided Video Generation and Scene Reconstruction via 3D Geometric Memories
  6. 2026World-T3: Test-Time Training as Persistent Memory for Real-Time Video World Models
  7. 2026Geometry-Aware Rotary Position Embedding for Consistent Video World Model
  8. 2026WorldKV: Efficient World Memory with World Retrieval and Compression