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 …

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 consider the challenging problem of predicting intrinsic object properties from a single
image by exploiting differentiable renderers. Many previous learning-based approaches for …

To improve the robustness to rain, we present a physically-based rain rendering pipeline for
realistically inserting rain into clear weather images. Our rendering relies on a physical …

We propose a novel framework for creating large-scale photorealistic datasets of indoor
scenes, with ground truth geometry, material, lighting and semantics. Our goal is to make the …