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 …

Image and video inpainting is a classic problem in computer vision and computer graphics,
aiming to fill in the plausible and realistic content in the missing areas of images and videos …

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 …

Recent learning-based video inpainting approaches have achieved considerable progress.
However, they still cannot fully utilize semantic information within the video frames and …

Propagation-based video inpainting using optical flow at the pixel or feature level has
recently garnered significant attention. However, it has limitations such as the inaccuracy of …

Deep learning-based video inpainting has yielded promising results and gained increasing
attention from researchers. Generally, these methods usually assume that the corrupted …

Self-supervised video denoising has seen decent progress through the use of blind spot
networks. However, under their blind spot constraints, previous self-supervised video …

Video inpainting has been challenged by complex scenarios like large movements and low-
light conditions. Current methods, including emerging diffusion models, face limitations in …

The past decade has witnessed great strides in video recovery by specialist technologies,
like video inpainting, completion, and error concealment. However, they typically simulate …

Limited by hardware cost and system size, camera's Field-of-View (FoV) is not always
satisfactory. However, from a spatio-temporal perspective, information beyond the camera's …