4 Dimensional Novel View Synthesis

4D novel view synthesis (NVS) aims to generate realistic views of dynamic 3D scenes from limited input data, such as a set of images or videos taken at different times and viewpoints. Current research focuses on improving the efficiency and accuracy of 4D scene representation using methods like Gaussian splatting and diffusion models, often incorporating self-calibration techniques to refine camera parameters and address challenges posed by limited or inaccurate input data. These advancements are leading to more realistic and temporally consistent 4D reconstructions, with applications in fields ranging from virtual and augmented reality to computer vision and animation. The development of faster, higher-resolution methods, such as those employing hardware-accelerated rendering, is a key area of ongoing development.