Arxiv April 20, 2018
Existing deep learning-based image inpainting methods often lead to artifacts such as color discrepancy and blurriness. Researchers in the US (NVIDIA Corporation) propose the use of partial convolutions, where the convolution is masked and renormalized to be conditioned on only valid pixels. They include a mechanism to automatically generate an updated mask for the next layer as part of the forward pass. They have demonstrated that their model outperforms other methods for irregular masks. They have shown qualitative and quantitative comparisons with other methods to validate their approach… read more. Open Access TECHNICAL ARTICLE
Credit: Nvidia Corporation