[R] Adobe’s DL-Based ‘HDMatt’ Handles Image Details Thinner Than Hair

Original article was published by /u/Yuqing7 on Deep Learning

Image matting plays a key role in image and video editing and composition. Although existing deep learning approaches can produce acceptable image matting results, their performance suffers in real-world applications, where the input images are mostly high resolution. To address this, a group of researchers from UIUC, Adobe Research and the University of Oregon have proposed HDMatt, the first deep learning-based image matting approach for high-resolution image inputs.

Here is a quick read: Adobe’s DL-Based ‘HDMatt’ Handles Image Details Thinner Than Hair

The paper High-Resolution Deep Image Matting is on Arxiv. Notably, second author Ning Xu from Adobe Research was first author on the 2017 paper Deep Image Matting.

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