Deep learning-based sketch-to-clothing image generation provides the initial designs and inspiration in the fashion design processes. However, clothing generation from freehand drawing is challenging due to the sparse and ambiguous information from the drawn sketches. The current generation models may have difficulty generating detailed texture information. In this work, we propose TexControl, a sketch-based fashion generation framework that uses a two-stage pipeline to generate the fashion image corresponding to the sketch input. First, we adopt ControlNet to generate the fashion image from sketch and keep the image outline stable. Then, we use an image-to-image method to optimize the detailed textures of the generated images and obtain the final results. The evaluation results show that TexControl can generate fashion images with high-quality texture as fine-grained image generation.

提出了一种名为TexControl的基于草图的时尚生成框架，采用两阶段流程从草图输入生成时尚图像，通过ControlNet生成时尚图像并保持图像轮廓稳定，然后利用图像到图像的方法优化生成图像的细节纹理，获得最终结果。评估结果表明，TexControl可以生成具有高质量纹理的细粒度时尚图像。

TexControl：基于草图的二阶段时尚图像生成，使用扩散模型