Based 3D Human

Based 3D human modeling aims to reconstruct accurate and realistic three-dimensional representations of humans from various input modalities, such as single images or video sequences. Current research heavily utilizes transformer-based architectures, often incorporating contrastive learning and optimization techniques to improve pose estimation accuracy and efficiency, particularly addressing challenges like human-object interaction and multi-person scenarios. These advancements are driving progress in applications such as human-computer interaction, animation, and virtual reality, by enabling more natural and realistic human-computer interfaces and digital representations. The focus is on developing robust and computationally efficient methods that handle complex scenarios, including occlusions and varying viewpoints.