PanoHead: Geometry-Aware 3D Full-Head Synthesis in 360°

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PanoHead is a 3D-aware generative model that enables high-quality view-consistent image synthesis of full heads in 360° with diverse appearance and detailed geometry using only in-the-wild unstructured images for training.

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PanoHead: Geometry-Aware 3D Full-Head Synthesis in 360°

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Updated:2024/10/04

What is PanoHead: Geometry-Aware 3D Full-Head Synthesis in 360°

Key Features of PanoHead: Geometry-Aware 3D Full-Head Synthesis in 360°

PanoHead has a novel two-stage self-adaptive image alignment for robust 3D GAN training and a tri-grid neural volume representation that effectively addresses front-face and back-head feature entanglement.

Geometry-Aware 3D Full-Head Synthesis

PanoHead enables high-quality view-consistent image synthesis of full heads in 360° with diverse appearance and detailed geometry.

Novel Two-Stage Self-Adaptive Image Alignment

PanoHead has a novel two-stage self-adaptive image alignment for robust 3D GAN training.

Tri-Grid Neural Volume Representation

PanoHead has a tri-grid neural volume representation that effectively addresses front-face and back-head feature entanglement.

Full Head Reconstruction from Single RGB Image

PanoHead can generate full head reconstruction from a single RGB image.

Full Head Interpolation from Two Seeds

PanoHead can generate full head interpolation from two seeds.

Use Cases of PanoHead: Geometry-Aware 3D Full-Head Synthesis in 360°

Generate high-quality view-consistent images of full heads in 360°.
Reconstruct full heads from single RGB images for personalized realistic 3D avatars.
Interpolate full heads from two seeds for generating diverse head shapes and appearances.

Pros and Cons of PanoHead: Geometry-Aware 3D Full-Head Synthesis in 360°

Pros

Enables high-quality view-consistent image synthesis of full heads in 360°.
Has a novel two-stage self-adaptive image alignment for robust 3D GAN training.
Has a tri-grid neural volume representation that effectively addresses front-face and back-head feature entanglement.

Cons

Requires 1-8 high-end NVIDIA GPUs and specific software dependencies.
Has a complex architecture that requires expertise in 3D GANs and neural volume rendering.

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How to Use PanoHead: Geometry-Aware 3D Full-Head Synthesis in 360°

1
Download the whole models folder and put it under the root dir.
2
Follow the instructions in the README file to install the required dependencies and run the code.
3
Use the pre-trained models to generate high-quality view-consistent images of full heads in 360°.

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PanoHead: Geometry-Aware 3D Full-Head Synthesis in 360°

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PanoHead: Geometry-Aware 3D Full-Head Synthesis in 360°

Product Information

What is PanoHead: Geometry-Aware 3D Full-Head Synthesis in 360°