In this paper, we address the problem of spatially-varying illumination-aware indoor
harmonization. Existing image harmonization works either focus on extracting no more than …

Unsupervised intrinsic image decomposition (IID) is the process of separating a natural
image into albedo and shade without these ground truths. A recent model employing light …

In recent years, there has been a growing demand for urban digitization using cameras and
light detection and ranging (LiDAR). Shadows are a condition that affects measurement the …

Abstract Intrinsic Image Decomposition (IID) remains a pivotal challenge in the domain of
computer vision, with applications spanning image editing, color image denoising, and …

Deep learning networks are often difficult to train if there are insufficient image samples.
Gathering real-world images tailored for a specific job takes a lot of work to perform. This …