随着人工智能技术的飞速发展,数字造脸技术日益成熟,AI脸已经成为网络上的一道风景线,从网红的“AI换脸”视频到各类广告的虚拟形象,AI脸似乎无处不在,人民日报近日发表评论指出:“AI脸看腻了”,引发了人们对数字造脸技术发展的深度思考。

中英文结合:

As artificial intelligence (AI) technology continues to advance, digital face creation has become increasingly sophisticated, with AI faces now seemingly omnipresent on the internet. From the "AI face swap" videos of Internet celebrities to the virtual characters in advertisements, AI faces have become a common sight. However, the People's Daily recently published a commentary titled "Getting tired of AI faces," which has sparked profound reflections on the development of digital face creation technology.

文章指出,尽管AI脸技术在视觉效果上给人以新奇感,但长期以往,这种模式化的脸谱化现象容易让观众产生审美疲劳,AI脸缺乏个性化,难以满足人们对于独特美感的追求;过度依赖AI造脸技术,可能会让人们在现实生活中的审美标准受到影响。

In the commentary, it is pointed out that while AI face technology may provide a sense of novelty in visual effects, its repetitive and stereotyped nature can lead to aesthetic fatigue among viewers over time. On one hand, AI faces lack individuality and fail to meet people's pursuit of unique aesthetics; on the other hand, over-reliance on AI face creation technology may affect people's aesthetic standards in real life.

人民日报呼吁,人工智能技术的发展应更加注重个性化和创新,以适应人们不断变化的美学需求,在数字造脸领域,应鼓励探索更多元化的表现手法,让AI脸不再局限于单一的模式,而是能够呈现出更加丰富多样的形象。

The People's Daily calls for greater emphasis on individualization and innovation in the development of AI technology, to adapt to people's ever-changing aesthetic needs. In the field of digital face creation, it encourages the exploration of more diverse expressive methods, allowing AI faces to go beyond a single model and present a wider range of images.

在追求科技进步的同时,我们也不应忽视文化多样性和个性化美学的价值,AI脸技术的未来,不应只是满足视觉冲击,而更应该关注如何通过技术创新,为人们带来更加丰富、多元的审美体验。

While pursuing technological progress, we should not neglect the value of cultural diversity and individualized aesthetics. The future of AI face technology should not merely satisfy visual shock but also focus on how technological innovation can bring richer and more diverse aesthetic experiences to people.

人民日报评论,AI脸看腻了——从数字造脸到个性化美学