Stylized Novel View

Stylized novel view generation focuses on creating images or videos of a scene from unseen viewpoints, while applying a specific artistic style. Current research emphasizes efficient and controllable methods, employing techniques like diffusion models, neural radiance fields (NeRFs), and various deep learning architectures including generative adversarial networks (GANs) and autoencoders, often incorporating reinforcement learning or test-time training for optimization. This field is significant for advancing 3D content creation, enhancing user experience in XR applications, and improving the realism and expressiveness of digital media, impacting areas such as animation, virtual and augmented reality, and interactive storytelling.