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This paper proposes a practical photometric solution for the challengingproblem of in-the-wild inverse rendering under unknown ambient lighting. Oursystem recovers scene geometry and reflectance using only multi-view imagescaptured by a smartphone. The key idea is to exploit smartphone's built-inflashlight as a minimally controlled light source, and decompose imageintensities into two photometric components -- a static appearance correspondsto ambient flux, plus a dynamic reflection induced by the moving flashlight.Our method does not require flash/non-flash images to be captured in pairs.Building on the success of neural light fields, we use an off-the-shelf methodto capture the ambient reflections, while the flashlight component enablesphysically accurate photometric constraints to decouple reflectance andillumination. Compared to existing inverse rendering methods, our setup isapplicable to non-darkroom environments yet sidesteps the inherent difficultiesof explicit solving ambient reflections. We demonstrate by extensiveexperiments that our method is easy to implement, casual to set up, andconsistently outperforms existing in-the-wild inverse rendering techniques.Finally, our neural reconstruction can be easily exported to PBR texturedtriangle mesh ready for industrial renderers.

WildLight: In-the-wild Inverse Rendering with a Flashlight