上海科技大学知识管理系统

Described herein are systems, methods, and non-transitory computer-readable media configured to encode a radiance field of an object onto a machine learning model. A transformation matrix and a projection matrix with which to render an image of the object can be generated. Radiance values and volume density values associated with pixels of the image can be obtained through the machine learning model. The radiance values and the volume density values can be obtained based on position vectors and direction vectors associated with the pixels. Color associated with the pixels can be rendered based on a volume rendering technique. The volume rendering technique can include an application of a depth offset to a depth map associated with the object.

本文描述了被配置为将对象的辐射场编码到机器学习模型上的系统，方法和非瞬态计算机可读介质。 可以生成用于渲染对象的图像的变换矩阵和投影矩阵。 通过机器学习模型可以获得与图像的像素相关联的辐射度值和体积密度值。 可以基于与像素相关联的位置向量和方向向量来获得辐射度值和体积密度值。 可以基于体绘制技术来绘制与像素相关联的颜色。 所述体绘制技术可包括将深度偏移应用于与所述对象相关联的深度图。