A Virtual Point Light Generation Method in Close-Range Area

TL;DR

This paper introduces a hybrid VPL sampling algorithm that improves rendering quality and speed by dividing the scene into close and distant parts and applying different sampling methods.

Contribution

It presents a novel hybrid approach combining patch-based VPL sampling for near-field and sparse IR for distant scenes, enhancing quality and efficiency.

Findings

Significantly better visual quality at the same VPL count

Faster rendering speed with comparable quality

Effective scene division improves sampling efficiency

Abstract

This paper proposes a new hybrid algorithm for sampling virtual point light (VPL). The indirect lighting calculation of the scene is used to distribute the VPL reasonably. In the process of generating VPL, we divide the scene into two parts according to the camera position and orientation. The close-range part: the part that the camera pays attention to. The distant-range part: the part that the camera does not pay attention to or rarely pays attention to. For the close-range part, we use a patch-based vPL sampling method to distribute the VPL as evenly as possible on the patch in the near-field area; for the distant-range part, we use sparse instant radiosity (IR) for sampling. It turns out that, in contrast to conventional multiple instant radiance Compared with the VPL generation algorithm, the method proposed in this paper can greatly improve the quality of the final result graph when the number of VPLs is the same; Under the same rendering quality, the rendering speed can be greatly improved.