论文标题
U-NET带有重新网络的骨干，用于衣服地标的目的
U-Net with ResNet Backbone for Garment Landmarking Purpose
论文作者
论文摘要
我们构建了一个基于热图的地标检测模型，以在2D RGB服装图像上找到重要地标。主要目标是检测服装的边缘，角落和合适的内部区域。这让我们通过合并具有里程碑意义的检测模型和纹理包装来重新创建现代3D编辑软件中的3D服装。我们使用带有重新网络骨架的U-NET体系结构来构建模型。通过适当的损失功能，我们能够训练适度稳健的模型。
We build a heatmap-based landmark detection model to locate important landmarks on 2D RGB garment images. The main goal is to detect edges, corners and suitable interior region of the garments. This let us re-create 3D garments in modern 3D editing software by incorporate landmark detection model and texture unwrapping. We use a U-net architecture with ResNet backbone to build the model. With an appropriate loss function, we are able to train a moderately robust model.
