Abstract Neural Radiance Fields (NeRFs) have emerged as a popular approach for novel
view synthesis. While NeRFs are quickly being adapted for a wider set of applications …

Abstract The popularity of Neural Radiance Fields (NeRFs) for view synthesis has led to a
desire for NeRF editing tools. Here, we focus on inpainting regions in a view-consistent and …

Deep image inpainting has made impressive progress with recent advances in image
generation and processing algorithms. We claim that the performance of inpainting …

Maintaining spatial and temporal consistency in the inpainted video area of the video is a
challenging problem. Recent research focuses on flow information for synthesizing …

In this paper, we consider the difference in the abstraction level of features extracted by
different perceptual layers and use a weighted perceptual loss-based generative adversarial …

Have you ever imagined how it would look if we placed new objects into paintings? For
example, what would it look like if we placed a basketball into Claude Monet's``Water Lilies …

This paper introduces LeftRefill an innovative approach to efficiently harness large Text-to-
Image (T2I) diffusion models for reference-guided image synthesis. As the name implies …

With the development of image generation and processing techniques, image inpainting
techniques based on deep learning have achieved impressive results. Especially the …

Most existing image inpainting algorithms are based on a single view, struggling with large
holes or the holes containing complicated scenes. Some reference-guided algorithms fill the …

Many video editing tasks such as rotoscoping or object removal require the propagation of
context across frames. While transformers and other attention-based approaches that …