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Create a 3D avatar
Nerfies: Deformable Neural Radiance Fields

Nerfies: Deformable Neural Radiance Fields

Create 3D portraits from casual selfies

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Create photorealistic 3D portraits from casual videos

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Create photorealistic 3D portraits from casual videos

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Nerfies: Deformable Neural Radiance Fields

Create photorealistic 3D portraits from selfies

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Nerfies: Deformable Neural Radiance Fields

Generate 3D portraits from casual selfie videos

0

What is Nerfies: Deformable Neural Radiance Fields ?

Nerfies is a cutting-edge machine learning tool designed to create 3D avatars from 2D selfies. Leveraging Deformable Neural Radiance Fields, it allows users to transform casual selfies into detailed 3D portraits. This technology is perfect for users looking to generate photo-realistic avatars with minimal effort.

Features

• 3D Reconstruction: Converts 2D selfies into 3D avatars with impressive accuracy. • Animation Support: Enables users to animate their avatars for dynamic expressions. • Customization Options: Provides tools to refine and customize the final 3D model. • Integration with ML Models: Compatible with cutting-edge machine learning pipelines for enhanced results. • User-Friendly Interface: Designed for ease of use, making 3D avatar creation accessible to everyone.

How to use Nerfies: Deformable Neural Radiance Fields ?

  1. Upload a Selfie: Start by uploading a high-quality selfie or casual photo.
  2. Generate 3D Avatar: Let the AI process the image to create a 3D model.
  3. Customize the Avatar: Use the provided tools to tweak and refine your avatar.
  4. Export the Result: Download your 3D avatar for use in various applications.

Frequently Asked Questions

What is Nerfies: Deformable Neural Radiance Fields?
Nerfies is an AI-powered tool that transforms 2D selfies into 3D avatars using advanced neural radiance fields.

Is Nerfies free to use?
Nerfies offers free access for basic features, with optional paid upgrades for advanced customization and exports.

How long does it take to generate a 3D avatar?
The process is quick, typically taking a few seconds to minutes depending on the input quality and system performance.

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