Existing methods for interactive segmentation in radiance fields entail
...
Recent interactive segmentation methods iteratively take source image, u...
Capitalizing on the rapid development of neural networks, recent video f...
This paper proposes a novel video inpainting method. We make three main
...
With the development of vehicular technologies on automation,
electrific...
Temporal modeling is crucial for video super-resolution. Most of the vid...
Scenario-based approaches have been receiving a huge amount of attention...
Reference-based image super-resolution (RefSR) has shown promising succe...
New autonomous driving technologies are emerging every day and some of t...
Video super-resolution (VSR) aims to utilize multiple low-resolution fra...
Blind inpainting is a task to automatically complete visual contents wit...
The complexity of automated driving poses challenges for providing safet...
Conditional generative adversarial networks have shown exceptional gener...
Current image translation methods, albeit effective to produce high-qual...
In this paper, we are interested in generating an cartoon face of a pers...
In this paper, we propose a generative multi-column network for image
in...
Digital face manipulation has become a popular and fascinating way to to...
In single image deblurring, the "coarse-to-fine" scheme, i.e. gradually
...
Previous CNN-based video super-resolution approaches need to align multi...
Estimating correspondence between two images and extracting the foregrou...
We propose a principled convolutional neural pyramid (CNP) framework for...