Video Inpainting Localization

Video inpainting localization focuses on identifying regions within a video that have been manipulated using inpainting techniques, a crucial task given the potential for malicious use of this technology. Current research emphasizes developing deep learning models, often employing transformer architectures or encoder-decoder structures with specialized modules (e.g., those leveraging frequency domain analysis or contrastive learning) to detect subtle artifacts and accurately localize inpainted areas. This field is significant for combating the spread of misinformation and deepfakes, with advancements directly impacting the development of robust video authentication and forensic tools.