GLIMPSE: Global-Local Indexing with Multi-Precision Spectral Encoding for Explorable Video World Models
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.
ProofPaper ↗
Key points
- 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.
- Local patch memory supplies view-specific appearance, while recurrent global memory provides scene context.
- Under matched retrieval and read budgets, GLIMPSE improves geometric correspondence and photometric consistency over deterministic positional transport.
Sources (1)
- [1]GLIMPSE: Global-Local Indexing with Multi-Precision Spectral Encoding for Explorable Video World ModelsarXiv (AI, ML, NLP, CV, robotics, multi-agent) · Oct 9, 03:01 PM
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.
A camera-controlled video world model must keep a scene consistent when the camera returns to it.
Extractive summary: sentences quoted from the sources.
Before this
- Oct 9, 2026RoleWorld: Knowledge Transfer in World Modeling with Functional Role Abstractions
- Oct 9, 2026RSI-Anything: Unlocking Recursive Self-Improvement with World Models
- Oct 8, 2026Multi-Agent Egocentric World Model with Fine-Grained Embodied Interaction
- Oct 8, 2026DreamTrue: Action-Faithful Robot World Model with Counterfactual Post-Training
- Oct 8, 2026Memento 3: Model-Based Recursive Self-Improvement through Reflective Rulebooks
- Oct 8, 2026OuroWorld: Bringing Any 3D World Alive as Diverse, Endlessly Looping 3D Cinemagraphs