We study inferring a tree-structured representation from a single image for object shading.
Prior work typically uses the parametric or measured representation to model shading …

Understanding shading effects in images is critical for a variety of vision and graphics
problems, including intrinsic image decomposition, shadow removal, image relighting, and …

We describe a novel method StyLitGAN for relighting and resurfacing images in the absence
of labeled data. StyLitGAN generates images with realistic lighting effects including cast …

Decomposing a scene into its shape, reflectance, and illumination is a challenging but
important problem in computer vision and graphics. This problem is inherently more …

Decomposing a scene into its shape, reflectance and illumination is a fundamental problem
in computer vision and graphics. Neural approaches such as NeRF have achieved …

We show how to insert an object from one image to another and get realistic results in the
hard case, where the shading of the inserted object clashes with the shading of the scene …

We introduce light diffusion, a novel method to improve lighting in portraits, softening harsh
shadows and specular highlights while preserving overall scene illumination. Inspired by …

Recent portrait relighting methods have achieved realistic results of portrait lighting effects
given a desired lighting representation such as an environment map. However, these …

Shading is an important part of computer imagery, but shaders have been based on fixed
models to which all surfaces must conform. As computer imagery becomes more …

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 …