3D Content Creation

3D content creation research focuses on efficiently generating high-quality three-dimensional models and scenes from various inputs like text, single images, or sparse views. Current efforts center on developing novel deep learning architectures, including diffusion models and generative adversarial networks (GANs), often incorporating techniques like Gaussian splatting and multi-view consistency to improve realism and speed. These advancements are significantly impacting fields such as virtual and augmented reality, gaming, and digital heritage preservation by automating and accelerating the traditionally laborious process of 3D asset creation. Furthermore, interactive systems are being developed to provide users with greater control over the generation process.