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Research questionHow can camera-controlled video generation preserve spatial consistency over long horizons despite noisy 3D memory?Long camera trajectories require generated frames to remain aligned with the scene over time. Multi-view 3D reconstruction can place the same surfaces at inconsistent locations, making history-based geometric conditioning noisy and degrading spatial consistency.
AI
AI Memory
Computer Vision
Image & Video Processing
Machine Learning
Video Generation
Latest papersRecent research connected to this question, newest first.AnchorWeave: World-Consistent Video Generation with Retrieved Local Spatial MemoriesApplies to camera-controllable video generation conditioned on geometric memories reconstructed from multiple views. The source provides experimental results, ablations, and analyses of local geometric conditioning, multi-anchor control, and coverage-driven retrieval; it does not specify deployment constraints or access requirements.research paper · Sep 4, 2026
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