25 citations · 44 across the 10 of their papers we have counts for
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cs.CV2023★ 7 cited
Matte Anything: Interactive Natural Image Matting with Segment Anything Models
Jingfeng Yao, Xinggang Wang, Lang Ye +1
Natural image matting algorithms aim to predict the transparency map (alpha-matte) with the trimap guidance. However, the production of trimap often requires significant labor, whi…
cs.CV2023★ 1 cited
ViTMatte: Boosting Image Matting with Pretrained Plain Vision Transformers
Jingfeng Yao, Xinggang Wang, Shusheng Yang +1
Recently, plain vision Transformers (ViTs) have shown impressive performance on various computer vision tasks, thanks to their strong modeling capacity and large-scale pretraining.…