4 papers
DNAEdit: Direct Noise Alignment for Text-Guided Rectified Flow Editing
Chenxi Xie, Minghan Li, Shuai Li +3
Leveraging the powerful generation capability of large-scale pretrained text-to-image models, training-free methods have demonstrated impressive image editing results. Conventional…
MaSS13K: A Matting-level Semantic Segmentation Benchmark
Chenxi Xie, Minghan Li, Hui Zeng +2
High-resolution semantic segmentation is essential for applications such as image editing, bokeh imaging, AR/VR, etc. Unfortunately, existing datasets often have limited resolution…
UniVS: Unified and Universal Video Segmentation with Prompts as Queries
Minghan Li, Shuai Li, Xindong Zhang +1
Despite the recent advances in unified image segmentation (IS), developing a unified video segmentation (VS) model remains a challenge. This is mainly because generic category-spec…
OpenSD: Unified Open-Vocabulary Segmentation and Detection
Shuai Li, Minghan Li, Pengfei Wang +1
Recently, a few open-vocabulary methods have been proposed by employing a unified architecture to tackle generic segmentation and detection tasks. However, their performance still…