Report on Methods and Applications for Crafting 3D Humans

TL;DR

This paper reviews current methods for 3D human model creation, emphasizing AI-driven diffusion models and exploring future integration of large-scale models to advance applications in entertainment, healthcare, and education.

Contribution

It provides a comprehensive overview of 3D human modeling techniques and discusses the potential of combining large-scale models with deep learning for future innovations.

Findings

Diffusion models enable high-fidelity 3D image and video generation.

3D human models are crucial in entertainment, VR, AR, healthcare, and education.

Integration of large-scale models with deep learning promises future advancements.

Abstract

This paper presents an in-depth exploration of 3D human model and avatar generation technology, propelled by the rapid advancements in large-scale models and artificial intelligence. The paper reviews the comprehensive process of 3D human model generation, from scanning to rendering, and highlights the pivotal role these models play in entertainment, VR, AR, healthcare, and education. We underscore the significance of diffusion models in generating high-fidelity images and videos. It emphasizes the indispensable nature of 3D human models in enhancing user experiences and functionalities across various fields. Furthermore, this paper anticipates the potential of integrating large-scale models with deep learning to revolutionize 3D content generation, offering insights into the future prospects of the technology. It concludes by emphasizing the importance of continuous innovation in the field, suggesting that ongoing advancements will significantly expand the capabilities and applications of 3D human models and avatars.