  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.
