论文标题
SketchPatch:通过无缝补丁级合成的草图样式化
SketchPatch: Sketch Stylization via Seamless Patch-level Synthesis
论文作者
论文摘要
图像到图像翻译的范式通过传递几何纹理细节的转移来利用草图样式化。我们缺乏对翻译系统标准培训的必要数据,我们主张在补丁级别进行操作,其中少数几种程式化的草图为具有基本几何原始原料的贴片提供了充足的采矿潜力。在补丁级别上操作需要特别考虑完整的草图翻译,因为不考虑邻居的贴片的个别翻译很可能会在斑块边界产生可见的接缝和伪像。将一对样式和普通原语的对齐对组合,形成输入混合动力,其中包含边框和普通元素周围的样式元素,并作为输入无缝翻译(ST)发电机的输入,其输出补丁预计将重建完全样式的补丁。对抗性的增加在推理时促进了对各种几何形状的概括和鲁棒性,形成了一个简单有效的系统,用于任意草图样式化,如各种样式和草图所证明的那样。
The paradigm of image-to-image translation is leveraged for the benefit of sketch stylization via transfer of geometric textural details. Lacking the necessary volumes of data for standard training of translation systems, we advocate for operation at the patch level, where a handful of stylized sketches provide ample mining potential for patches featuring basic geometric primitives. Operating at the patch level necessitates special consideration of full sketch translation, as individual translation of patches with no regard to neighbors is likely to produce visible seams and artifacts at patch borders. Aligned pairs of styled and plain primitives are combined to form input hybrids containing styled elements around the border and plain elements within, and given as input to a seamless translation (ST) generator, whose output patches are expected to reconstruct the fully styled patch. An adversarial addition promotes generalization and robustness to diverse geometries at inference time, forming a simple and effective system for arbitrary sketch stylization, as demonstrated upon a variety of styles and sketches.