Farm3D
Learning Articulated 3D Animals by Distilling 2D Diffusion
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.
What Farm3D looks like
Key Features:
Innovative learning approach: Harnesses the power of Stable Diffusion to learn articulated D animals.
Reconstruction network: Creates controllable D assets from a single input image.
Fast and efficient: Generates D assets in a matter of seconds.
Versatile: Works with both real and generated input images.
Use Cases:
• D artists and animators seeking an efficient way to create D assets from D images.
• Game developers looking to streamline their asset creation process.
• Researchers exploring innovative learning techniques for D 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 D assets from a single input image, be it real or generated, in just seconds.