Phys3DGS: Physically-based 3D Gaussian Splatting for Inverse Rendering
We propose two novel ideas (adoption of deferred rendering and mesh-based representation) to improve the quality of 3D Gaussian splatting (3DGS) based inverse rendering. We first report a problem incurred by hidden Gaussians, where Gaussians beneath the surface adversely affect the pixel color in the volume rendering adopted by the existing methods. In order to resolve the problem, we propose applying deferred rendering and report new problems incurred in a naive application of deferred rendering to the existing 3DGS-based inverse rendering. In an effort to improve the quality of 3DGS-based inverse rendering under deferred rendering, we propose a novel two-step training approach which (1) exploits mesh extraction and utilizes a hybrid mesh-3DGS representation and (2) applies novel regularization methods to better exploit the mesh. Our experiments show that, under relighting, the proposed method offers significantly better rendering quality than the existing 3DGS-based inverse rendering methods. Compared with the SOTA voxel grid-based inverse rendering method, it gives better rendering quality while offering real-time rendering.
Code (0)
등록된 구현이 없습니다.
Tasks
3DGSInverse RenderingMethods 이 논문이 사용한 방법론
Similar Papers 제목 키워드 기반
GeoSplatting: Towards Geometry Guided Gaussian Splatting for Physically-based Inverse Rendering
We consider the problem of physically-based inverse rendering using 3D Gaussian Splatting (3DGS) representations. While recent 3DGS methods have achieved remarkable results in novel view synthesis (NVS), accurately captu…
3DGSDisentanglementInverse RenderingNovel View SynthesisRadiometrically Consistent Gaussian Surfels for Inverse Rendering
Inverse rendering with Gaussian Splatting has advanced rapidly, but accurately disentangling material properties from complex global illumination effects, particularly indirect illumination, remains a major challenge. Ex…
Computational EfficiencyInverse RenderingOMG: Opacity Matters in Material Modeling with Gaussian Splatting
Decomposing geometry, materials and lighting from a set of images, namely inverse rendering, has been a long-standing problem in computer vision and graphics. Recent advances in neural rendering enable photo-realistic an…
Inverse RenderingNeural RenderingNovel View SynthesisSVG-IR: Spatially-Varying Gaussian Splatting for Inverse Rendering
Reconstructing 3D assets from images, known as inverse rendering (IR), remains a challenging task due to its ill-posed nature. 3D Gaussian Splatting (3DGS) has demonstrated impressive capabilities for novel view synthesi…
3DGSInverse RenderingNeRFNovel View SynthesisProgressive Radiance Distillation for Inverse Rendering with Gaussian Splatting
We propose progressive radiance distillation, an inverse rendering method that combines physically-based rendering with Gaussian-based radiance field rendering using a distillation progress map. Taking multi-view images …
Inverse RenderingNovel View Synthesis