用球形高斯拟合动态HDR图像，保持时间一致性。
Fitting Spherical Gaussians to Dynamic HDRI Sequences
- 用各向异性球形高斯建模光照，优化方向、锐度和强度。
- 通过复合损失函数，用少量高斯实现全频段光照表示。
- 引入时序一致性损失，确保序列中光照变化平滑连续。
我们提出一种方法，使用各向异性球形高斯（ASGs）对高动态范围照明（HDRI）序列进行拟合，同时在压缩的HDRI图中保持时间一致性。该方法从一个优化网络开始，通过迭代最小化包含重建损失和漫反射损失的复合损失函数。这使得我们能够用少量的ASGs表示全频段信号，同时联合优化每个HDRI帧的高斯方向、锐度和强度。为将优化扩展至时间域，我们引入了时序一致性损失，确保整个HDRI序列中光照近似的一致性。
原文摘要 · Abstract (English)
We present a technique for fitting high dynamic range illumination (HDRI) sequences using anisotropic spherical Gaussians (ASGs) while preserving temporal consistency in the compressed HDRI maps. Our approach begins with an optimization network that iteratively minimizes a composite loss function, which includes both reconstruction and diffuse losses. This allows us to represent all-frequency signals with a small number of ASGs, optimizing their directions, sharpness, and intensity simultaneously for an individual HDRI. To extend this optimization into the temporal domain, we introduce a temporal consistency loss, ensuring a consistent approximation across the entire HDRI sequence.
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