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

利用 PSDR-Room 系统，通过梯度下降来优化光照、物体姿态和材质，以使其与目标室内场景图像视觉上匹配，实现对室内场景中各组件的可编辑性。