SPEAR: A Simulator for Photorealistic Embodied AI Research
SPEAR turns Unreal Engine apps into fast, deeply programmable embodied-AI simulators from Python.
The paper says SPEAR exposes more than 14,000 Unreal Engine functions to Python through a modular plugin architecture. A single instance can render 1080p photorealistic images into NumPy at 73 fps, while also producing ground-truth modalities not available in existing UE-based simulators. The authors show it controlling humans, cars, and robots, rendering city-scale scenes and human faces, linking with MuJoCo, and editing scenes through natural language. It is accepted at ECCV 2026. HF Daily Papers' note
The paper says SPEAR exposes more than 14,000 Unreal Engine functions to Python through a modular plugin architecture. A single instance can render 1080p photorealistic images into NumPy at 73 fps, while also producing ground-truth modalities not available in existing UE-based simulators. The authors show it controlling humans, cars, and robots, rendering city-scale scenes and human faces, linking with MuJoCo, and editing scenes through natural language. It is accepted at ECCV 2026. HF Daily Papers' note
score 6