The deep learning-based image inpainting models discussed in this review are critical
image processing techniques for filling in missing or removed regions in static planar …

Image completion is widely used in photo restoration and editing applications, eg for object
removal. Recently, there has been a surge of research on generating diverse completions …

All-sky images (ASI) are widely used for sky monitoring, particularly in solar energy
generation applications. Alignment issues and interferences demand a detection process of …

Chinese paintings have great cultural and artistic significance and are known for their
delicate lines and rich textures. Unfortunately, many ancient paintings have been damaged …

Achieving clear images during X-ray angiography is sometimes a challenge for cardiologists
due to unwanted shadows of various fixed and moving organs inside the chest. To face this …

Image outpainting receives less attention due to the challenges of predicting the spatial
content consistency and maintaining the high quality in generated images. All-sides image …

Image (Face) inpainting is a highly ill-posed problem due to limited priors in the missing
regions. Due to the specific structures of faces, face inpainting can take advantage of its …