先画这个

中文摘要 AI 辅助

我们反转了草图生成的典型公式：不再按顺序绘制笔触，而是预测定义笔触绘制顺序的二维场。我们使用预训练的 latent flow-matching transformer（潜在流匹配 Transformer）提供图像先验以预测中间表示，同时训练 VAE 的解码器来预测顺序场、笔触掩码和笔触分割。我们将预测的分割矢量化为折线，并按该场排序，生成有序的矢量草图。我们的模型可根据文本描述预测有序矢量草图，或将图像反渲染为有序矢量；无论哪种情况，它都遵循指定绘制顺序的文本指令。

英文摘要

We invert the typical formulation of sketch generation: instead of drawing strokes in order, we predict a 2D field that defines the order in which strokes are drawn. We use a pretrained latent flow-matching transformer to supply the image prior to predict an intermediate representation, while training the VAE's decoder to predict the order field, stroke mask, and stroke segmentation. We vectorize the predicted segmentation into polylines and sort them by the field, producing an ordered vector sketch. Our model can predict an ordered vector sketch from a text description or derender an image into ordered vectors; for either, it follows text instructions specifying the order of drawing.

发表机构

• Wand Technologies
• Bradbury Group

机构由 AI 辅助整理，请以论文原文为准。