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MeRoPE: Metric Rotary Position Embedding for Camera-Controlled Video Generation
In camera-controlled video generation, geometry-aware positional encodings condition tokens on camera extrinsics and per-token viewing rays. Existing schemes, however, have a scale-dependent failure mode on real-world metric camera trajectories: homogeneous projective encodings cause attention logits and feature norms to grow unbounded with physical translation baselines. We propose MeRoPE (Metric Rotary Position Embedding), a norm-preserving relative camera encoding for attention. MeRoPE encodes relative orientations between calibrated viewing rays with orthogonal rotation blocks, maps raw me
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Evidence & attribution
- arXiv · AI, language, vision and robotics · 2026-09-01T13:48:31.000Z
First collected: 2026-09-21T06:01:56.170Z. This is not the publication date.