Fit per-pixel environment map with spherical Gaussian lobes

Jul 31, 2021 1 min read

Spherical Gaussian Optimization

This is code to fit per-pixel environment map with spherical Gaussian lobes, using LBFGS optimization. This code has been used in the following paper to generate ground-truth spherical Gaussian parameters.

Li, Z., Shafiei, M., Ramamoorthi, R., Sunkavalli, K., & Chandraker, M. (2020). Inverse rendering for complex indoor scenes: Shape, spatially-varying lighting and svbrdf from a single image. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (pp. 2475-2484).

Please cite the paper if you find the code to be useful in your own project. Please refer to the papers for more implementation details.

Instructions

To run the code, use the command
python optimEnvSplit.py --cuda --dataRoot DATA, where DATA is the path to the synthetic dataset.

GitHub

https://github.com/lzqsd/SphericalGaussianOptimization

Optimization

John was the first writer to have joined pythonawesome.com. He has since then inculcated very effective writing and reviewing culture at pythonawesome which rivals have found impossible to imitate.