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Convert a portrait into a talking video
Nerfies: Deformable Neural Radiance Fields

Nerfies: Deformable Neural Radiance Fields

Convert selfie videos into 3D portraits

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Nerfies: Deformable Neural Radiance Fields

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What is Nerfies: Deformable Neural Radiance Fields ?

Nerfies: Deformable Neural Radiance Fields is an advanced AI tool designed to convert selfie videos into 3D portraits. Building on the concept of Neural Radiance Fields (NeRF), this technology introduces deformable capabilities, enabling the creation of dynamic and interactive 3D avatars from 2D video inputs. It interprets the 3D structure of a scene and camera movements to bring portraits to life in a highly realistic and engaging manner.

Features

• Real-Time Rendering: Generates 3D portraits in real-time for immediate interaction.
• Deformable Fields: Allows for dynamic adjustments, ensuring smooth transitions and natural movements.
• Selfie Video Support: Directly processes selfie videos to create lifelike 3D avatars.
• 3D Reconstruction: Automatically reconstructs 3D geometry from 2D video data.
• High Efficiency: Optimized for performance, enabling seamless user experience.

How to use Nerfies: Deformable Neural Radiance Fields ?

  1. Capture a Selfie Video: Record a short video showcasing your portrait from different angles.
  2. Upload to Nerfies: Input the video into the Nerfies platform or application.
  3. Process the Video: Let Nerfies analyze and convert the video into a 3D avatar.
  4. Interact with the 3D Portrait: Use the generated avatar for applications like virtual meetings, social media, or creative projects.

Frequently Asked Questions

What input format does Nerfies support?
Nerfies primarily works with selfie videos in standard formats like MP4 or MOV.

How does Nerfies differ from traditional NeRF?
Nerfies introduces deformable capabilities, making it suitable for dynamic and interactive 3D avatar generation, unlike the static nature of traditional NeRF.

Are there limits to the video length or quality?
While Nerfies can process varying video lengths, shorter videos with clear lighting and diverse angles tend to produce better results.

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