Search Results for author:
Found 3 papers, 2 papers with code
CANDID: Correspondence AligNment for Deep-burst Image Denoising
With the advent of mobile phone photography and point-and-shoot cameras, deep-burst imaging is widely used for a number of photographic effects such as depth of field, super-resolution, motion deblurring, and image denoising.
Neural-PIL: Neural Pre-Integrated Lighting for Reflectance Decomposition
Decomposing a scene into its shape, reflectance and illumination is a fundamental problem in computer vision and graphics.
NeRD: Neural Reflectance Decomposition from Image Collections
This problem is inherently more challenging when the illumination is not a single light source under laboratory conditions but is instead an unconstrained environmental illumination.
Ranked #5 on
Image Relighting
on Stanford-ORB
