High dynamic range (HDR) imaging is a technique that allows an extensive dynamic range
of exposures, which is important in image processing, computer graphics, and computer …

As a common image editing operation, image composition aims to combine the foreground
from one image and another background image, resulting in a composite image. However …

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

Accurate lighting estimation is challenging yet critical to many computer vision and computer
graphics tasks such as high-dynamic-range (HDR) relighting. Existing approaches model …

Scene simulation in autonomous driving has gained significant attention because of its huge
potential for generating customized data. However existing editable scene simulation …

Rain fills the atmosphere with water particles, which breaks the common assumption that
light travels unaltered from the scene to the camera. While it is well-known that rain affects …

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 …

We consider the challenging problem of outdoor lighting estimation for the goal of
photorealistic virtual object insertion into photographs. Existing works on outdoor lighting …

We propose a data-driven learned sky model, which we use for outdoor lighting estimation
from a single image. As no large-scale dataset of images and their corresponding ground …

Generating virtual object shadows consistent with the real-world environment shading
effects is important but challenging in computer vision and augmented reality applications …