PanoHead is a generative model that creates high-fidelity, controllable 3D head avatars from single 2D images using panoramic neural radiance fields.
PanoHead is an open-source framework for generating high-quality, animatable 3D head models from a single 2D image. Built on 3D-aware generative modeling, it reconstructs a full 360° head, including the back of the head and hair, enabling realistic pose changes and viewpoint control. The system produces detailed geometry and textures that remain consistent under large rotations, making it suitable for applications that require robust multi-view rendering.
Key capabilities include single-image 3D head reconstruction, full panoramic coverage, and compatibility with standard rendering pipelines. PanoHead supports controllable camera viewpoints and can be integrated into animation or avatar creation workflows where realistic head motion is required. Typical use cases include virtual avatars, telepresence, game character prototyping, and research in 3D vision and graphics.
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