View Interpolation

View interpolation aims to generate novel viewpoints from a set of existing images or videos, effectively creating the illusion of 3D space from 2D data. Recent research focuses on leveraging implicit neural representations (INRs) and diffusion models to achieve this, often incorporating techniques like multi-plane disparities and optimal transport for improved accuracy and efficiency. These advancements are driving progress in applications such as free-viewpoint video streaming and high-quality 3D content generation from single images, offering more immersive and interactive multimedia experiences. The development of robust and real-time view interpolation methods is crucial for various fields, including virtual and augmented reality.