1 code implementation • 3 Mar 2024 • Qinglin Liu, Shengping Zhang, Quanling Meng, Bineng Zhong, Peiqiang Liu, Hongxun Yao
Finally, an instance matting network decodes the image features and united semantics guidance to predict all instance-level alpha mattes.
1 code implementation • 28 Feb 2024 • Qinglin Liu, Xiaoqian Lv, Wei Yu, Changyong Guo, Shengping Zhang
However, existing matting methods are designed for specific objects or guidance, neglecting the common requirement of aggregating global and local contexts in image matting.
Ranked #3 on Image Matting on Distinctions-646
1 code implementation • 3 Apr 2023 • Qinglin Liu, Xiaoqian Lv, Quanling Meng, Zonglin Li, Xiangyuan Lan, Shuo Yang, Shengping Zhang, Liqiang Nie
Furthermore, AEMatter leverages a large image training strategy to assist the network in learning context aggregation from data.
Ranked #1 on Image Matting on Composition-1K
1 code implementation • 25 Sep 2021 • Qinglin Liu, Haozhe Xie, Shengping Zhang, Bineng Zhong, Rongrong Ji
Finally, we use the matting module which takes the image, trimap and context features to estimate the alpha matte.
Ranked #6 on Image Matting on Composition-1K (using extra training data)