3D Mesh Generation

3D mesh generation focuses on creating realistic three-dimensional models from various input sources, such as single images or 2D plans, aiming for high fidelity and efficiency. Current research emphasizes developing novel neural network architectures, including generative adversarial networks (GANs), diffusion models, and transformer-based approaches, often incorporating multi-view or sparse-view strategies to improve accuracy and speed. These advancements are significantly impacting fields like architecture and computer-aided design by enabling rapid prototyping and visualization, while also contributing to broader advancements in 3D modeling and computer graphics. The development of foundation models and efficient algorithms is a key focus, aiming to improve both the quality and speed of 3D mesh generation.