GAN inversion aims to invert a given image back into the latent space of a pretrained GAN
model so that the image can be faithfully reconstructed from the inverted code by the …

Given a portrait image of a person and an environment map of the target lighting, portrait
relighting aims to re-illuminate the person in the image as if the person appeared in an …

Most face relighting methods are able to handle diffuse shadows, but struggle to handle
hard shadows, such as those cast by the nose. Methods that propose techniques for …

Single-image human relighting aims to relight a target human under new lighting conditions
by decomposing the input image into albedo, shape and lighting. Although plausible …

This article formulates a new problem, instance shadow detection, which aims to detect
shadow instance and the associated object instance that cast each shadow in the input …

Lighting is a determining factor in photography that affects the style, expression of emotion,
and even quality of images. Creating or finding satisfying lighting conditions, in reality, is …

We propose BareSkinNet, a novel method that simultaneously removes makeup and lighting
influences from the face image. Our method leverages a 3D morphable model and does not …

While using virtual backgrounds has recently become a very popular feature in
videoconferencing, there often exists a jarring mismatch between the lighting of the user and …

Digital images taken by mobile phones are the most frequent class of images created today.
Due to their omnipresence and the many ways they are encountered, they require a specific …

We present a deep neural network for removing undesirable shading features from an
unconstrained portrait image, recovering the underlying texture. Our training scheme …