3 papers
cs.CV2024
Training Matting Models without Alpha Labels
Wenze Liu, Zixuan Ye, Hao Lu +2
The labelling difficulty has been a longstanding problem in deep image matting. To escape from fine labels, this work explores using rough annotations such as trimaps coarsely indi…
cs.CV2024
FADE: A Task-Agnostic Upsampling Operator for Encoder-Decoder Architectures
Hao Lu, Wenze Liu, Hongtao Fu +1
The goal of this work is to develop a task-agnostic feature upsampling operator for dense prediction where the operator is required to facilitate not only region-sensitive tasks li…
cs.CV2024
In-Context Matting
He Guo, Zixuan Ye, Zhiguo Cao +1
We introduce in-context matting, a novel task setting of image matting. Given a reference image of a certain foreground and guided priors such as points, scribbles, and masks, in-c…