This study aims to use deep learning to recover the diffuse albedo of human images
captured under a wide range of real-world lighting conditions. A key challenge here is the …

Deep learning-based shadow removal methods are frequently hard to obtain a detail-rich
and boundary-smoothing shadow removal result. In this work, we propose an illumination …

Portrait viewpoint and illumination editing is an important problem with several applications
in VR/AR, movies, and photography. Comprehensive knowledge of geometry and …

With the emergence of techniques called DeepFakes, there has been a notable proliferation
of DeepFake detectors rooted in deep learning. These detectors aim to expose subtle …

Facial landmark detection is a very fundamental and significant vision task with many
important applications. In practice, facial landmark detection can be affected by a lot of …

Non-uniform low-light images, characterized by complex lighting conditions, pose a
significant challenge in image restoration and enhancement, particularly under backlit …

Facial structure editing of portrait images is challenging given the facial variety, the lack of
ground-truth, the necessity of jointly adjusting color and shape, and the requirement of no …

Compositing virtual objects into real background images requires one to carefully match the
scene's camera parameters, surface geometry, textures, and lighting to obtain plausible …

The generally unsupervised nature of autoencoder models implies that the main training
metric is formulated as the error between input images and their corresponding …

Ensuring ideal lighting when recording videos of people can be a daunting task requiring a
controlled environment and expensive equipment. Methods were recently proposed to …