We propose a deep inverse rendering framework for indoor scenes. From a single RGB
image of an arbitrary indoor scene, we obtain a complete scene reconstruction, estimating …

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 …

Intrinsic decomposition is a fundamental mid-level vision problem that plays a crucial role in
various inverse rendering and computational photography pipelines. Generating highly …

Intrinsic imaging or intrinsic image decomposition has traditionally been described as the
problem of decomposing an image into two layers: a reflectance, the albedo invariant color …

Abstract Physically-Based Rendering (PBR) is key to modeling the interaction between light
and materials and finds extensive applications across computer graphics domains. However …

Intrinsic image decomposition is the process of recovering the image formation components
(reflectance and shading) from an image. Previous methods employ either explicit priors to …

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 …

Inverse rendering of complex material such as glossy, metal and mirror material is a long-
standing ill-posed problem in this area, which has not been well solved. Previous …

Intrinsic image decomposition, ie, decomposing a natural image into a reflectance image
and a shading image, is used in many augmented reality applications for achieving better …

Intrinsic image decomposition and inverse rendering are long-standing problems in
computer vision. To evaluate albedo recovery, most algorithms report their quantitative …