Farm3D

Further Information

Key Features

• Utilizes Stable Diffusion for learning articulated 3D animals
• Reconstruction network creates controllable 3D assets from a single input image
• Generates 3D assets quickly and efficiently in seconds
• Works with both real and generated input images for versatility

Use Cases

• 3D artists and animators can use the model to efficiently create 3D assets from 2D images.
• Game developers can streamline their asset creation process using the model.
• Researchers can explore innovative learning techniques for 3D object generation with the model.
• The model integrates the diffusion model as a scoring mechanism to enhance learning.
• The result is a monocular reconstruction network that can create controllable 3D assets from a single input image, real or generated, in just seconds.