AI RESEARCH

TIDES: Time-Derivative Event Simulation via Deformable Reconstruction

arXiv CS.CV

ArXi:2606.02058v1 Announce Type: new Event cameras emit asynchronous events in response to environmental appearance changes. The scarcity of real-world event datasets makes simulation essential. However, most simulators infer event from frame sequences, forcing many threshold crossings to share a small set of discrete times; a failure mode we term timestamp batching that worsens under fast motion and occlusion. We present TIDES, a continuous-time event simulator built on dynamic Gaussian splatting.