mcbuehler/VariTex
🧠 AI Modelmcbuehler
Variational Neural Face Textures for high-fidelity, generative 3D face modeling and rendering.
VariTex (Variational Neural Face Textures) is an innovative approach to modeling facial appearance for 3D applications. Published at ICCV 2021, the project addresses the challenge of creating high-fidelity, controllable face textures using generative models. Unlike traditional texture mapping, VariTex employs a variational neural architecture that learns a latent representation of facial textures. This allows for the generation of diverse, realistic, and consistent face textures that can be mapped onto 3D face geometries. The framework integrates seamlessly with neural rendering pipelines, enabling researchers and developers to synthesize faces with high visual quality. The repository provides the implementation details and Jupyter notebooks necessary to explore the underlying GAN-based architecture and rendering techniques, serving as a foundational resource for those working on neural avatars, digital humans, and advanced computer vision tasks.
💡Highlights
- ├─ICCV 2021 accepted research
- ├─Variational neural texture model
- └─Advanced neural rendering
🎯For
- ├─Computer Vision Researchers
- └─Graphics Engineers