We present a method to edit complex indoor lighting from a single image with its predicted
depth and light source segmentation masks. This is an extremely challenging problem that …

In this work, we address the problem of jointly estimating albedo, normals, depth and 3D
spatially-varying lighting from a single image. Most existing methods formulate the task as …

Reconstruction and intrinsic decomposition of scenes from captured imagery would enable
many applications such as relighting and virtual object insertion. Recent NeRF based …

We introduce a neural relighting algorithm for captured indoors scenes, that allows
interactive free-viewpoint navigation. Our method allows illumination to be changed …

Photorealistic editing of outdoor scenes from photographs requires a profound
understanding of the image formation process and an accurate estimation of the scene …

Because of the diversity in lighting environments, existing illumination estimation techniques
have been designed explicitly on indoor or outdoor environments. Methods have focused …

We present deferred neural lighting, a novel method for free-viewpoint relighting from
unstructured photographs of a scene captured with handheld devices. Our method …

This paper proposes a practical photometric solution for the challenging problem of in-the-
wild inverse rendering under unknown ambient lighting. Our system recovers scene …

Inverse rendering aims to estimate physical attributes of a scene, eg, reflectance, geometry,
and lighting, from image (s). Inverse rendering has been studied primarily for single objects …

Changing the illumination of an outdoor image is a notoriously difficult problem that requires
the lighting to be modified consistently across the image, and shadows to be removed and …