Create photorealistic 3D portraits from videos
Create 3D portraits from casual video selfies
Turn casual selfies into 3D portraits
Create photorealistic 3D portraits from selfies
Create 3D portraits from selfies
Create 3D portraits from selfie videos
Generate stunning 3D portraits from casual videos
for project use only
Turn casual videos into dynamic 3D portraits
Turn casual videos into 3D portraits
Scalable and Versatile 3D Generation from images
Paper for the LLM model known as ThorV2 by Floworks
Create photorealistic 3D portraits from casual video uploads
Nerfies: Deformable Neural Radiance Fields is a cutting-edge tool designed to create photorealistic 3D avatars from video data. It leverages advanced neural radiance fields (NeRF) technology to reconstruct detailed 3D portraits, enabling applications in fields like gaming, virtual reality, and digital content creation. The tool is user-friendly and requires minimal technical expertise, making it accessible to a wide range of users.
• Deformable Neural Radiance Fields: Captures complex shapes and deformations, such as hair and facial expressions, with high accuracy.
• Video-to-3D Conversion: Converts short video clips (15-30 seconds) into detailed 3D avatars.
• View Interpolation: Allows for smooth transitions and novel viewpoint generation from the captured data.
• Photorealistic Output: Generates highly realistic 3D models that can be used for animation, VR, or other applications.
• User-Friendly Interface: Simplified workflow for non-technical users to create 3D avatars seamlessly.
What kind of video input does Nerfies require?
Nerfies requires a short video clip (15-30 seconds) captured from multiple angles to ensure accurate 3D reconstruction.
Do I need prior 3D modeling experience to use Nerfies?
No, Nerfies is designed to be user-friendly and accessible to users without prior 3D modeling expertise.
How long does it take to process a video into a 3D avatar?
Processing time depends on the video length and system resources but typically takes a few minutes to generate the 3D model.