Implementation of SfSNet: Learning Shape, Reflectance and Illuminance of Faces in the Wild
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Updated
May 18, 2019 - Python
Implementation of SfSNet: Learning Shape, Reflectance and Illuminance of Faces in the Wild
A repository that contains implementation of Intrinsic Image Decomposition, based on Intrinsic Images in the Wild, a SIGGRAPH 2014 paper by Sean Bell, Kavita Bala and Noah Snavely.
2D face reconstruction using SFSNet, and end-to-end learning framework for producing an accurate decomposition of an unconstrained human face image into shape, reflectance and illuminance.
Illumination model based on Normal and Spherical Harmonics is not precise. Here, we introduce new illumination model based on residue of shading
Ray tracing is a rendering technique for generating an image by tracing the path of light.
Intrinsic components for the MIT Multi-Illumination Dataset
A simple software renderer in Python using Gouraud shading
Creating Ambient occlusion render of point clouds (elevation maps) using "Portion de Ciel Visible" (PCV) algorithm + Pyside GUI
Picasso was cool. Algorithms are cooler. You won't believe how stunning this can make images look.
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