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