Finally, our methods enable high-quality facial appearance reconstruction from sparse captures. We fit parameters of standard production rendering models, producing realistic results without neural rendering. 5/n

Why is this challenging? Inverse rendering often suffers from scale mismatches, rendering noise and local minima. This prevents reliable recovery of textures, e.g., using standard Adam. In contrast, our approach achieves a more uniform and robust convergence. 2/n

Inverse rendering has become a standard tool for 3D reconstruction problems. However, recovering high-frequency appearance textures is challenging. In our SIGGRAPH 2025 paper, we propose several techniques to robustly reconstruct complex appearances (e.g., human skin). 1/n