Text-to-Image diffusion models have made tremendous progress over the past two years,
enabling the generation of highly realistic images based on open-domain text descriptions …

We present a generic image-to-image translation framework, pixel2style2pixel (pSp). Our
pSp framework is based on a novel encoder network that directly generates a series of style …

Given an abstract, deformed, ordinary sketch from untrained amateurs like you and me, this
paper turns it into a photorealistic image-just like those shown in Fig. 1 (a), all non-cherry …

In this paper, we propose a solution to transforming photos of real-world scenes into cartoon
style images, which is valuable and challenging in computer vision and computer graphics …

We propose a deep learning approach for user-guided image colorization. The system
directly maps a grayscale image, along with sparse, local user" hints" to an output …

Motion blur from camera shake is a major problem in videos captured by hand-held devices.
Unlike single-image deblurring, video-based approaches can take advantage of the …

Recently, there have been several promising methods to generate realistic imagery from
deep convolutional networks. These methods sidestep the traditional computer graphics …

With the rapid development of cartoon industry, various studies on two-dimensional (2D)
cartoon have been proposed for different application scenarios, such as quality assessment …

Recent deep image-to-image translation techniques allow fast generation of face images
from freehand sketches. However, existing solutions tend to overfit to sketches, thus …

The recent phenomenal interest in convolutional neural networks (CNNs) must have made it
inevitable for the super-resolution (SR) community to explore its potential. The response has …