Sample distribution awareness denoising and rendering

Sample distribution awareness denoising and rendering are provided. A graphics processor is provided that includes circuitry configured to receive, at an input block of a neural network model, a data set including previous frame data, current frame data, speed data, and jitter offset data. The neural network model is configured to generate a de-noised, oversampled, and anti-aliasing output image based on a reliability metric calculated from sample distribution data of samples within the current frame data. 提供了样本分布知情去噪和渲染。提供了图形处理器，其包括被配置为进行以下操作的电路：在神经网络模型的输入块处接收包括先前帧数据、当前帧数据、速度数据和抖动偏移数据的数据集合。神经网络模型被配置为基于根据当前帧数据内样本的样本分布数据计算的可靠性度量来生成去噪、超采样和抗锯齿的输出图像。