Neural Photometry-Guided Visual Attribute Transfer
Neural Photometry-Guided Visual Attribute Transfer
We present a deep learning-based method for propagating spatially-varying visual material attributes (e.g., texture maps or image stylizations) to larger samples of the same or similar materials. For training, we leverage images of the material taken under multiple illuminations and a dedicated data augmentation policy, making the transfer robust to …