EVIS: Real-Time Event Camera Simulation with Multimodal Supervision in NVIDIA Isaac Sim
Event cameras are increasingly adopted in embodied perception for their microsecond temporal resolution, high dynamic range, and resilience to motion blur. However, training event-based models for robotics requires large-scale, action-conditioned data with dense physical annotations that are difficult to collect in the real world. We introduce EVIS, an open-source physics-grounded event simulator integrated into NVIDIA Isaac Sim that generates events from linear-HDR radiance from a closed-loop robot training episode. Rather than relying on learning-based video interpolation or expensive dense rendering, EVIS exploits renderer-provided motion vectors and depth maps through bi-directional w...
| Authors | Linli Shi, Ruijun Zhang, Ziyun Wang |
|---|---|
| Primary category | cs.CV |
| Published | 9 July 2026 |
| Last updated at source | 11 September 2026 |
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