Light field imaging has emerged as a technology allowing to capture richer visual
information from our world. As opposed to traditional photography, which captures a 2D …

A neural radiance field (NeRF) is a scene model supporting high-quality view synthesis,
optimized per scene. In this paper, we explore enabling user editing of a category-level …

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 …

We present a novel technique to automatically colorize grayscale images that combines
both global priors and local image features. Based on Convolutional Neural Networks, our …

Colorization has attracted increasing interest in recent years. Classic reference-based
methods usually rely on external color images for plausible results. A large image database …

A deep generative model such as a GAN learns to model a rich set of semantic and physical
rules about the target distribution, but up to now, it has been obscure how such rules are …

For realistic and vivid colorization, generative priors have recently been exploited. However,
such generative priors often fail for in-the-wild complex images due to their limited …

In recent years, the computer graphics and computer vision communities have devoted
significant attention to research based on Internet visual media resources. The huge number …

Image editing applications offer a wide array of tools for color manipulation. Some of these
tools are easy to understand but offer a limited range of expressiveness. Other more …

Abstract Vision Transformers (ViTs) have gained significant popularity in recent years and
have proliferated into many applications. However, their behavior under different learning …