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Updated 02/24/2024
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Learning Articulated 3D Animals by Distilling 2D Diffusion

AI Categories: 3D

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Farm3D offers a groundbreaking solution to generate 3D animals from 2D images using a diffusion-based learning approach, empowering creators with a fast and efficient method for generating controllable 3D assets.

Key Features:

  1. Innovative learning approach: Harnesses the power of Stable Diffusion to learn articulated 3D animals.
  2. Reconstruction network: Creates controllable 3D assets from a single input image.
  3. Fast and efficient: Generates 3D assets in a matter of seconds.
  4. Versatile: Works with both real and generated input images.

Use Cases:

• 3D artists and animators seeking an efficient way to create 3D assets from 2D images.

• Game developers looking to streamline their asset creation process.

• Researchers exploring innovative learning techniques for 3D object generation.

The diffusion model is also integrated as a scoring mechanism to enhance learning. The result is a monocular reconstruction network capable of creating controllable 3D assets from a single input image, be it real or generated, in just seconds.

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