  While AI-generated text and 2D images continue to expand its territory, 3D
generation has gradually emerged as a trend that cannot be ignored. Since the
year 2023 an abundant amount of research papers has emerged in the domain of 3D
generation. This growth encompasses not just the creation of 3D objects, but
also the rapid development of 3D character and motion generation. Several key
factors contribute to this progress. The enhanced fidelity in stable diffusion,
coupled with control methods that ensure multi-view consistency, and realistic
human models like SMPL-X, contribute synergistically to the production of 3D
models with remarkable consistency and near-realistic appearances. The
advancements in neural network-based 3D storing and rendering models, such as
Neural Radiance Fields (NeRF) and 3D Gaussian Splatting (3DGS), have
accelerated the efficiency and realism of neural rendered models. Furthermore,
the multimodality capabilities of large language models have enabled language
inputs to transcend into human motion outputs. This paper aims to provide a
comprehensive overview and summary of the relevant papers published mostly
during the latter half year of 2023. It will begin by discussing the AI
generated object models in 3D, followed by the generated 3D human models, and
finally, the generated 3D human motions, culminating in a conclusive summary
and a vision for the future.
