3D Model Generation

3D model generation focuses on automatically creating three-dimensional models from various input sources, such as images, text, or even sketches, aiming to improve efficiency and accessibility in fields like design and virtual reality. Current research emphasizes developing sophisticated generative models, including diffusion models, GANs, and transformer-based architectures, often incorporating hybrid representations (e.g., combining explicit and implicit methods) to enhance both the quality and diversity of generated models. These advancements are driving progress in diverse applications, from creating realistic models of endangered species for conservation efforts to generating detailed urban environments for planning and simulation.