Ben Affleck on visual effects and machine learning
What happened
On October 8, Simon Willison reported on Ben Affleck's views on visual effects and machine learning. Affleck said his interest in VFX began when he moved from film to digital, and that he can write "pretty terrible Python scripts." He noted that VFX pipelines have long included machine learning, and described convolutional neural networks as the predecessor of Transformers. Such networks process tensors and do edge detection and feature extraction, which makes it easier to pull green-screen footage and swap backgrounds.
Written by AI from the coverage · updated 2 hours ago
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- Simon WillisonQuoting Ben Affleck
Ben Affleck 表示自己从胶片转向数字后对视觉特效产生兴趣，能写"相当糟糕的 Python 脚本"。他提到视觉特效流程多年来一直包含机器学习，卷积神经网络作为 Transformer 的前身，可用于处理 tensor 并实现边缘检测与特征提取，从而更轻松地抠出绿幕画面并替换背景。
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