We propose the first deep learning approach for exemplar-based local colorization. Given a
reference color image, our convolutional neural network directly maps a grayscale image to …

This paper introduces an automatic method for editing a portrait photo so that the subject
appears to be wearing makeup in the style of another person in a reference photo. Our …

This paper presents the first end-to-end network for exemplar-based video colorization. The
main challenge is to achieve temporal consistency while remaining faithful to the reference …

While generative adversarial networks (GANs) can successfully produce high-quality
images, they can be challenging to control. Simplifying GAN-based image generation is …

Portrait editing is a popular subject in photo manipulation. The Generative Adversarial
Network (GAN) advances the generating of realistic faces and allows more face editing. In …

Although recent inpainting approaches have demonstrated significant improvement with
deep neural networks, they still suffer from artifacts such as blunt structures and abrupt …

Modeling daytime changes in high resolution photographs, eg, re-rendering the same scene
under different illuminations typical for day, night, or dawn, is a challenging image …

Flat filling is a critical step in digital artistic content creation with the objective of filling line
arts with flat colors. We present a deep learning framework for user-guided line art flat filling …

Colorization is multimodal by nature and challenges existing frameworks to achieve colorful
and structurally consistent results. Even the sophisticated autoregressive model struggles to …

Current 3D scene stylization methods transfer textures and colors as styles using arbitrary
style references, lacking meaningful semantic correspondences. We introduce Reference …