Skip to yearly menu bar Skip to main content


Poster

RobIR: Robust Inverse Rendering for High-Illumination Scenes

Ziyi Yang · Chenyanzhen · Xinyu Gao · YazhenYuan · Wu Yu · Xiaowei Zhou · Xiaogang Jin

East Exhibit Hall A-C #2105
[ ] [ Project Page ]
Wed 11 Dec 4:30 p.m. PST — 7:30 p.m. PST

Abstract:

Implicit representation has opened up new possibilities for inverse rendering. However, existing implicit neural inverse rendering methods struggle to handle strongly illuminated scenes with significant shadows and slight reflections. The existence of shadows and reflections can lead to an inaccurate understanding of the scene, making precise factorization difficult. To this end, we present RobIR, an implicit inverse rendering approach that uses ACES tone mapping and regularized visibility estimation to reconstruct accurate BRDF of the object. By accurately modeling the indirect radiance field, normal, visibility, and direct light simultaneously, we are able to accurately decouple environment lighting and the object's PBR materials without imposing strict constraints on the scene. Even in high-illumination scenes with shadows and specular reflections, our method can recover high-quality albedo and roughness with no shadow interference. RobIR outperforms existing methods in both quantitative and qualitative evaluations.

Live content is unavailable. Log in and register to view live content