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 …

Image inpainting aims to generate realistic content for missing regions of an image. Existing
methods often struggle to produce visually coherent content for missing regions of an image …

Recent video inpainting methods have made remarkable progress by utilizing explicit
guidance, such as optical flow, to propagate cross-frame pixels. However, there are cases …

As a novel data source for earth observation, satellite video can provide large-scale
temporal information for dynamic monitoring. However, the cloud occlusion prevents satellite …

Wires and powerlines are common visual distractions that often undermine the aesthetics of
photographs. The manual process of precisely segmenting and removing them is extremely …

Data-driven algorithms have proven to be effective for a variety of medical tasks, including
disease categorization and prediction, personalized medicine design, and imaging …

The challenge of image generation has been effectively modeled as a problem of structure
priors or transformation. However, existing models have unsatisfactory performance in …

Diffusion models possess powerful generative capabilities enabling the mapping of noise to
data using reverse stochastic differential equations. However, in image restoration tasks, the …

Vanilla image completion approaches exhibit sensitivity to large missing regions, attributed
to the limited availability of reference information for plausible generation. To mitigate this …