3 papers
cs.CV2026
MatAnyone 2: Scaling Video Matting via a Learned Quality Evaluator
Peiqing Yang, Shangchen Zhou, Kai Hao +1
Video matting remains limited by the scale and realism of existing datasets. While leveraging segmentation data can enhance semantic stability, the lack of effective boundary super…
cs.CV2026
Precise Object and Effect Removal with Adaptive Target-Aware Attention
Jixin Zhao, Zhouxia Wang, Peiqing Yang +1
Object removal requires eliminating not only the target object but also its associated visual effects such as shadows and reflections. However, diffusion-based inpainting and remov…
cs.CV2025
MatAnyone: Stable Video Matting with Consistent Memory Propagation
Peiqing Yang, Shangchen Zhou, Jixin Zhao +2
Auxiliary-free human video matting methods, which rely solely on input frames, often struggle with complex or ambiguous backgrounds. To address this, we propose MatAnyone, a robust…