Synthetic urban scenes generated with SceneCity assets for outdoor inverse rendering and reconstruction. The dataset features diverse urban environments rendered under complex, multi-illumination outdoor lighting conditions to simulate real-world variability.
Use Cases
- Train inverse rendering models to estimate surface reflectance and lighting from synthetic urban renders
- Perform multi-illumination reconstruction to recover 3D geometry from scenes with varying light sources
- Benchmark outdoor scene decomposition algorithms using the high-fidelity synthetic assets
Strengths
- Constructed using high-fidelity SceneCity assets for realistic urban geometry
- Simulates complex outdoor lighting environments for inverse rendering tasks
- Organized to support multi-illumination reconstruction workflows