URAvatar
U
Uravatar
Overview :
URAvatar is a novel avatar generation technology that enables the creation of realistic, re-lightable head avatars through smartphone scans under unknown lighting conditions. Unlike traditional methods that estimate reflectance parameters through inverse rendering, URAvatar directly simulates learned radiative transfer, effectively integrating global illumination into real-time rendering. This technology is significant as it can reconstruct head models that appear realistic in multiple environments from a single environmental smartphone scan, enabling real-time driving and re-lighting.
Target Users :
The target audience includes professionals who need to create realistic avatars, such as game developers, film effects artists, and virtual reality content creators. The URAvatar technology, with its high fidelity and real-time rendering capabilities, is especially suitable for applications that require rapid generation of lifelike avatars that can be adjusted under varying lighting conditions.
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Features
- High fidelity: Capable of creating realistic head avatar models.
- Versatility: Suitable for avatar reconstruction across various identities and environments.
- Real-time rendering: Avatars can be animated and re-lit in real time.
- Radiative transfer learning: Directly simulates learned radiative transfer to enhance rendering efficiency.
- Multi-view training: Trains cross-identity decoders using multi-view facial performance data.
- Personalized fine-tuning: Refines pre-trained models through inverse rendering for personalized, re-lightable avatars.
- Decoupled control: Provides independent control over re-lighting, gaze, and neck adjustments.
How to Use
1. Prepare a smartphone and the object to be scanned.
2. Scan the object using your smartphone in natural lighting conditions.
3. Use URAvatar technology to process the scanned data, reconstructing the head pose, geometry, and reflectance texture.
4. Fine-tune the scan results using pre-trained models to achieve personalized, re-lightable avatars.
5. Apply decoupled control for re-lighting, gaze, and neck adjustments on the avatar.
6. Implement the avatar in different virtual environments for real-time animation and lighting effects.
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