Separating an image into meaningful underlying components is a crucial f...
Learning-based image harmonization techniques are usually trained to und...
Can one inject new concepts into an already trained generative model, wh...
We introduce the task of spotting temporally precise, fine-grained event...
We present a method to automatically compute correct gradients with resp...
Generative models operate at fixed resolution, even though natural image...
Human pose is a useful feature for fine-grained sports action understand...
We introduce a neural relighting algorithm for captured indoors scenes, ...
Visual content often contains recurring elements. Text is made up of gly...
Multi-Layer Perceptrons (MLPs) make powerful functional representations ...
Vector graphics are widely used to represent fonts, logos, digital artwo...
We introduce a neural network-based method to denoise pairs of images ta...
We introduce a new generator architecture, aimed at fast and efficient
h...
Bursts of images exhibit significant self-similarity across both time an...
Collections of images under a single, uncontrolled illumination have ena...
Performance is a critical challenge in mobile image processing. Given a
...