3D Human
3D human modeling focuses on creating realistic three-dimensional representations of humans, aiming for accurate geometry, texture, and dynamic movement. Current research emphasizes generating high-fidelity models from limited input, such as single images or sparse video views, often employing neural rendering techniques like Gaussian splatting and neural radiance fields, along with diffusion models and graph convolutional networks for pose estimation and animation. This field is crucial for advancements in virtual reality, animation, human-computer interaction, and other applications requiring accurate and realistic human representations.
Papers
GeneMAN: Generalizable Single-Image 3D Human Reconstruction from Multi-Source Human Data
Wentao Wang, Hang Ye, Fangzhou Hong, Xue Yang, Jianfu Zhang, Yizhou Wang, Ziwei Liu, Liang Pan
Make-It-Animatable: An Efficient Framework for Authoring Animation-Ready 3D Characters
Zhiyang Guo, Jinxu Xiang, Kai Ma, Wengang Zhou, Houqiang Li, Ran Zhang
PersonaCraft: Personalized Full-Body Image Synthesis for Multiple Identities from Single References Using 3D-Model-Conditioned Diffusion
Gwanghyun Kim, Suh Yoon Jeon, Seunggyu Lee, Se Young Chun