论文标题
使用gan生成像素艺术角色精灵
Generating Pixel Art Character Sprites using GANs
论文作者
论文摘要
迭代创建像素艺术角色精灵板对于游戏开发过程至关重要。但是，在完成包含不同姿势和动画片段的最终版本之前，可能需要大量精力。本文使用条件生成的对抗网络进行了调查，以帮助设计师创建此类精灵片。我们提出了一个基于Pix2Pix的体系结构，以生成面向目标侧（例如，右）的字符图像（例如，右）在源姿势中（例如，前面）。使用小像素ART数据集的实验产生了有希望的结果，导致模型具有不同程度的概括，有时能够生成非常接近地面真相的图像。我们通过视觉检查和使用FID进行定量分析结果。
Iterating on creating pixel art character sprite sheets is essential to the game development process. However, it can take a lot of effort until the final versions containing different poses and animation clips are achieved. This paper investigates using conditional generative adversarial networks to aid the designers in creating such sprite sheets. We propose an architecture based on Pix2Pix to generate images of characters facing a target side (e.g., right) given sprites of them in a source pose (e.g., front). Experiments with small pixel art datasets yielded promising results, resulting in models with varying degrees of generalization, sometimes capable of generating images very close to the ground truth. We analyze the results through visual inspection and quantitatively with FID.
