Despite significant advancements in image matting, existing models heavily
depend on manually-drawn trimaps for accurate results in natural image
scenarios. However, the process of obtaining trimaps is time-consuming, lacking
user-friendliness and device compatibility. This reliance greatly limits the
practical application of all trimap-based matting methods. To address this
issue, we introduce Click2Trimap, an interactive model capable of predicting
high-quality trimaps and alpha mattes with minimal user click inputs. Through
analyzing real users' behavioral logic and characteristics of trimaps, we
successfully propose a powerful iterative three-class training strategy and a
dedicated simulation function, making Click2Trimap exhibit versatility across
various scenarios. Quantitative and qualitative assessments on synthetic and
real-world matting datasets demonstrate Click2Trimap's superior performance
compared to all existing trimap-free matting methods. Especially, in the user
study, Click2Trimap achieves high-quality trimap and matting predictions in
just an average of 5 seconds per image, demonstrating its substantial practical
value in real-world applications.

通过分析真实用户的行为逻辑和三角形模板的特性，我们成功提出了一个强大的迭代三类训练策略和一个专门的模拟功能，使 Click2Trimap 在各种场景下都表现出多样性。定量和定性评估合成和实际世界的抠图数据集表明，与所有现有的无三角形抠图方法相比，Click2Trimap 的性能更优。特别是在用户研究中，Click2Trimap 在每张图像平均仅需 5 秒的时间即可实现高质量的三角形抠图和抠图预测，展示了其在实际应用中的实质性价值。