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A 3D digital scene contains many components: lights, materials andgeometries, interacting to reach the desired appearance. Staging such a sceneis time-consuming and requires both artistic and technical skills. In thiswork, we propose PSDR-Room, a system allowing to optimize lighting as well asthe pose and materials of individual objects to match a target image of a roomscene, with minimal user input. To this end, we leverage a recent path-spacedifferentiable rendering approach that provides unbiased gradients of therendering with respect to geometry, lighting, and procedural materials,allowing us to optimize all of these components using gradient descent tovisually match the input photo appearance. We use recent single-image sceneunderstanding methods to initialize the optimization and search for appropriate3D models and materials. We evaluate our method on real photographs of indoorscenes and demonstrate the editability of the resulting scene components.

PSDR-Room: Single Photo to Scene using Differentiable Rendering