Human NeRF

Human NeRFs leverage neural radiance fields to create realistic 3D models of humans from images or videos, aiming for accurate novel view and pose synthesis. Current research focuses on improving efficiency through techniques like hypernetworks and multi-input/multi-output architectures, as well as enhancing generalizability by incorporating visibility awareness, pre-trained models, and handling challenging scenarios such as interacting hands and mirror reflections. This technology has significant implications for applications like virtual and augmented reality, motion capture, and 3D animation, offering more efficient and realistic human representation than traditional methods.