论文标题
艺术家指导的半自动动画着色
Artist-Guided Semiautomatic Animation Colorization
论文作者
论文摘要
在创意领域的自动重复作品的同时，在艺术家的愿景中自动化重复性工作之间存在微妙的平衡。动画行业定期将大型动画工作负载外包给劳动力廉价且长时间很常见的国外。自动化此过程的一部分对于降低成本和为主要动画工作室和外包艺术家创造可管理的工作量非常有用。我们通过将艺术家保持在循环中，以成功减少这项工作量，同时忠于艺术家的愿景，从而成功地减少这一工作量，从而自动化线条艺术色彩。通过将颜色提示和时间信息合并到对抗图像到图像框架中，我们表明可以通过艺术家的输入来达到自动化和真实性之间的平衡，以生成具有时间一致性的彩色帧。
There is a delicate balance between automating repetitive work in creative domains while staying true to an artist's vision. The animation industry regularly outsources large animation workloads to foreign countries where labor is inexpensive and long hours are common. Automating part of this process can be incredibly useful for reducing costs and creating manageable workloads for major animation studios and outsourced artists. We present a method for automating line art colorization by keeping artists in the loop to successfully reduce this workload while staying true to an artist's vision. By incorporating color hints and temporal information to an adversarial image-to-image framework, we show that it is possible to meet the balance between automation and authenticity through artist's input to generate colored frames with temporal consistency.
