Novel View

Novel view synthesis focuses on generating realistic images or videos of a scene from viewpoints not present in the original data, aiming to create immersive experiences and improve 3D scene understanding. Current research heavily utilizes neural radiance fields (NeRFs) and diffusion models, often incorporating techniques like multi-view transformers, attention mechanisms, and geometric constraints to improve view consistency and handle dynamic scenes with sparse or noisy input. This field is significant for applications in virtual and augmented reality, robotics, and computer-aided diagnosis, offering advancements in 3D scene representation and image generation.