AI RESEARCH

Unified Camera Positional Encoding for Controlled Video Generation

arXiv CS.CV

ArXi:2512.07237v2 Announce Type: replace Transformers have emerged as a universal backbone across 3D perception, video generation, and world models for autonomous driving and embodied AI, where understanding camera geometry is essential for grounding visual observations in three-dimensional space. However, existing camera encoding methods often rely on simplified pinhole assumptions, restricting generalization across the diverse intrinsics and lens distortions in real-world cameras. We