Turn casual videos into lifelike 3D portraits
Multi-Scale Geometries in GAN Latent Space
Turn casually captured videos into 3D portraits
Turn casually captured videos into 3D portraits
Turn casual videos into 3D portraits from any angle
Turn casual videos into 3D portraits
Generate Talking avatars from Text-to-Speech
Portrait Animation
Create a talking face video from text
Generate Talking avatars from Text-to-Speech
Generate a talking face video from an image and audio
Transform casual videos into interactive 3D portraits
Create 3D free-viewpoint portraits from videos
Nerfies: Deformable Neural Radiance Fields is a cutting-edge technology designed to convert casual videos into lifelike 3D portraits. It leverages advanced machine learning techniques to create dynamic and realistic 3D avatars from video inputs. By utilizing neural radiance fields and deformable modeling, Nerfies enables the capture of detailed facial expressions and movements, resulting in highly realistic talking video outputs.
• Real-time Rendering: Generates high-quality 3D portraits in real-time for smooth user experience.
• 3D Reconstruction: Creates lifelike 3D models from 2D video inputs using neural networks.
• Deformable Modeling: Allows for dynamic adjustments to the 3D model to match facial expressions and movements.
• Cross-Platform Compatibility: Works seamlessly across different devices and platforms.
• Versatile Input: Supports a wide range of video formats and sources for conversion.
What is the core technology behind Nerfies?
Nerfies is built on neural radiance fields, a type of neural network designed to synthesize novel views of complex 3D scenes. It combines this with deformable modeling to create dynamic 3D portraits.
What kind of videos can be used with Nerfies?
Nerfies supports most standard video formats, including MP4, AVI, and MOV. It works best with videos featuring a single subject, such as talking-head videos.
Can I edit or manipulate the 3D model after creation?
Yes, Nerfies allows users to adjust the 3D model by fine-tuning parameters or using additional tools for customization, enabling more control over the final output.