闲置算法档案
Currently, the field of generative visual or object art is gradually being influenced by algorithmic constraints, and the creative process seems to be mired in an "algorithmic" quagmire. Artists often generate new images simply by rearranging and combining existing algorithms. However, the works produced in this way often lack uniqueness and innovation, leading to a phenomenon of homogenization in the entire field.
Nevertheless, we also see that the academic community has produced a large number of algorithms for simulating nature, which have been extensively discussed and explored in journal papers. These algorithms are not limited to the traditional field of visual arts but have wide applications and research in computer science, artificial intelligence, and other fields. They can simulate natural phenomena, biological systems, physical processes, etc., providing richer possibilities for artistic creation.
However, visual artists still face challenges in the creative process. Existing tools and algorithms often fail to meet their needs because they lack personalization and specificity. Even algorithms built into some software or features provided by popular plugins may not necessarily help artists realize their creative ideas.
目前，生成式视觉或物体艺术领域正逐渐受到算法束缚，创作过程似乎陷入了“算法化”的泥潭。艺术家往往只是简单地将已有的算法重新排列组合，便能生成新的图像。然而，这样创作出的作品往往缺乏独特性和创新性，导致整个领域出现同质化现象。
尽管如此，我们也看到学术界已经产生了大量模拟自然的算法，并在期刊论文中得到广泛的讨论和探索。这些算法并不局限于传统的视觉艺术领域，在计算机科学、人工智能等领域都有着广泛的应用和研究，它们可以模拟自然现象、生物系统、物理过程等，为艺术创作提供更丰富的可能性。
然而，视觉艺术家在创作过程中仍面临挑战，现有的工具和算法往往因缺乏个性化和针对性而无法满足他们的需求，即使是一些软件内置的算法或流行插件提供的功能，也未必能帮助艺术家实现创作理念。