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 …

Intrinsic image decomposition separates an image into a reflectance layer and a shading
layer. Automatic intrinsic image decomposition remains a significant challenge, particularly …

We propose a method to realistically insert synthetic objects into existing photographs
without requiring access to the scene or any additional scene measurements. With a single …

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 …

We present the first end-to-end approach for real-time material estimation for general object
shapes with uniform material that only requires a single color image as input. In addition to …

We present a new method for decomposing an image into a set of soft color segments that
are analogous to color layers with alpha channels that have been commonly utilized in …

Separating a photograph into its reflectance and illumination intrinsic images is a
fundamentally ambiguous problem, and state-of-the-art algorithms combine sophisticated …

Owing to the data distribution shifts generated by collecting images using various imaging
protocols and device vendors, the generalization capability of deep models is crucial for …

Intrinsic images are a mid‐level representation of an image that decompose the image into
reflectance and illumination layers. The reflectance layer captures the color/texture of …

Intrinsic images aim at separating an image into its reflectance and illumination components
to facilitate further analysis or manipulation. This separation is severely ill posed and the …