Search Results for author:
Found 2 papers, 2 papers with code
Editable Indoor Lighting Estimation
We present a method for estimating lighting from a single perspective image of an indoor scene.
Learning to Estimate Indoor Lighting from 3D Objects
To achieve this, we developed a deep learning method that is able to encode the latent space of indoor lighting using few parameters and that is trained on a database of environment maps.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
