Recent advances in neural radiance fields have enabled the high-fidelity 3D reconstruction
of complex scenes for novel view synthesis. However, it remains underexplored how the …

Existing inverse rendering combined with neural rendering methods can only perform
editable novel view synthesis on object-specific scenes, while we present intrinsic neural …

Human relighting is a highly desirable yet challenging task. Existing works either require
expensive one-light-at-a-time (OLAT) captured data using light stage or cannot freely …

We present a method to edit complex indoor lighting from a single image with its predicted
depth and light source segmentation masks. This is an extremely challenging problem that …

Creating relightable and animatable human characters from monocular video at a low cost is
a critical task for digital human modeling and virtual reality applications. This task is complex …

Reasoning about the intrinsic properties of an image, such as albedo, illumination, and
surface geometry, is a long-standing problem with many applications in image editing and …

We propose a relighting method for outdoor images. Our method mainly focuses on
predicting cast shadows in arbitrary novel lighting directions from a single image while also …

Intrinsic image decomposition aims to separate the surface reflectance and the effects from
the illumination given a single photograph. Due to the complexity of the problem, most prior …

A key advantage of vector graphics over raster graphics is their editability. For example,
linear gradients define a spatially varying color fill with a few intuitive parameters, which are …

Removing shadows requires an understanding of both lighting conditions and object
textures in a scene. Existing methods typically learn pixel-level color mappings between …