Farm3D vs Make3D

Farm3D is a research method for single-view 3D reconstruction of articulated animals, built at the University of Oxford and published at 3DV 2024. You feed it one photo of a horse, cow, or sheep and it returns a full 3D shape with texture in seconds, without training on real photographs. The project page documents the approach, shows reconstruction demos, and links to code and the Animodel benchmark dataset.

Most 3D generators need large labeled 3D datasets or multi-view captures. Farm3D trains entirely on synthetic views produced by Stable Diffusion, then uses the same diffusion model as a critic during learning. That lets it recover fine details like legs and ears on categories it never saw in real images, which is unusual for monocular reconstruction pipelines that rely on real-world supervision.

Researchers studying articulated 3D shape, computer vision engineers prototyping animal asset pipelines, and 3D artists exploring controllable synthesis will find the demos and open code useful. The method also supports relighting, texture swapping between same-category models, and skeletal animation once a shape is generated.

Converts 2D images into 3D images or embeds.