Stochastic Signed Distance Processes
Multi-view surface reconstruction is a core problem in computer vision. One prominent line of work represents the surface implicitly as a signed distance field (SDF), optimizing it based on the photometric loss between rendered and observed pixel colors. These approaches typically employ SDF-based volume rendering to obtain a differentiable relaxation of discontinuous visibility along rays, thereby reducing reliance on silhouette supervision. In this paper, we reformulate SDF-based volume rendering as probabilistic surface rendering, where each pixel color is modeled as a mixture distribution induced by the random first ray-surface intersection. To this end, we introduce Stochastic Signed...
| Authors | Hiroki Sakuma, Masatoshi Okutomi |
|---|---|
| Primary category | cs.CV |
| Published | 18 June 2026 |
| Last updated at source | 23 June 2026 |
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