AI RESEARCH

DreamStereo: Towards Real-Time Stereo Inpainting for HD Videos

arXiv CS.CV

ArXi:2604.12270v1 Announce Type: new Stereo video inpainting, which aims to fill the occluded regions of warped videos with visually coherent content while maintaining temporal consistency, remains a challenging open problem. The regions to be filled are scattered along object boundaries and occupy only a small fraction of each frame, leading to two key challenges. First, existing approaches perform poorly on such tasks due to the scarcity of high-quality stereo inpainting datasets, which limits their ability to learn effective inpainting priors.