NVIDIA has introduced an amazing “state-of-the-art deep learning” method that can reconstruct an incomplete image. Last week the company released a video showcasing the examples of the new tool.
NVIDIA推出了一种惊人的“最先进的深度学习”方法,可以重建不完整的图像。 上周,该公司发布了一个视频,展示了这个新工具的应用案例。
The main competitor for this new tool is Photoshop’s Content-Aware fill. It uses information from surrounding pixels to fill gaps in the image. However, this tool fails badly when it encounters a more complex image. NVIDIA took a different approach and put its new tool ahead of the competitors by employing AI technology that understands what the subject should look like. However, it remains unknown when this tool will be available for the consumers.
这个新工具的主要竞争对手是Photoshop的Content-Aware填充。 它使用来自周围像素的信息来填充图像中的间隙。 但是,该工具遇到更复杂的图像时会失败。 NVIDIA采取了不同的方法,并通过采用人工智能技术,将其新工具摆在了竞争对手的前面,这种人工智能技术能够理解主题应该是什么样子。 但是,这种工具何时可供消费者使用还不得而知。
Even if this new method isn’t excellent at making esthetic reconstructions, it is definitely very good at recognizing what each part of the image represents. All the imperfections aside, we can’t wait to test it out. Check out the examples below and tell us what you think in the comments.
即使这种新方法在进行美学重建方面不够出色,但它肯定非常擅长识别图像的每个部分。 抛开所有的不完美之处,我们迫不及待地对它进行测试。 这样的技术如果运用在刑侦中,估计连蒙面杀手也无处遁形了。看看下面的例子,在留言中分享你的想法。
本文英文源自boredpanda ,由英语点津编译
新浪微博
@公众号英语点津
领取专属 10元无门槛券
私享最新 技术干货