Image denoising is a fundamental and challenging task in the field of
co...
Neural Radiance Fields (NeRFs) are a powerful representation for modelin...
Many image processing networks apply a single set of static convolutiona...
We present a method that takes as input a single dual-pixel image, and
s...
Lens flare is a common artifact in photographs occurring when the camera...
We present a novel algorithm for transferring artistic styles of semanti...
Traditional reflection removal algorithms either use a single image as i...
The light transport (LT) of a scene describes how it appears under diffe...
Photorealistic style transfer is the task of transferring the artistic s...
Taking photographs in low light using a mobile phone is challenging and
...
In this work, we present a camera configuration for acquiring "stereosco...
Machine learning techniques work best when the data used for training
re...
We present a system that allows users to visualize complex human motion ...
Humans recognize object structure from both their appearance and motion;...
We study the problem of synthesizing a number of likely future frames fr...
We study 3D shape modeling from a single image and make contributions to...
Understanding 3D object structure from a single image is an important bu...
Many video processing algorithms rely on optical flow to register differ...
3D object reconstruction from a single image is a highly under-determine...
We study the problem of 3D object generation. We propose a novel framewo...
We propose a novel method for template matching in unconstrained
environ...
We study the problem of synthesizing a number of likely future frames fr...