Farm3D vs Text-To-4D

Unlock the potential of 3D animal modeling with Farm3D, a revolutionary approach to creating articulated 3D animals through the distillation of 2D diffusion techniques. Developed by experts at the University of Oxford, Farm3D offers a novel method for single-view 3D reconstruction, allowing the creation of detailed 3D shapes from a single input image. With the aid of an innovative controllable synthesis process, users can generate 3D models that are not only accurate but also customizable in terms of animation, texture, and lighting.

Dive into the future of 3D asset generation with Farm3D's cutting-edge technology. Whether you’re looking to convert static images into dynamic 3D models or seeking to enhance your digital creations with realistic animation and relighting features, Farm3D provides the tools you need. Experience the power of Stable Diffusion as it guides the learning of the 3D reconstruction networks, ensuring your results are nothing short of spectacular.

Meta present MAV3D (Make-A-Video3D), a method for generating three-dimensional dynamic scenes from text descriptions. Our approach uses a 4D dynamic Neural Radiance Field (NeRF), which is optimized for scene appearance, density, and motion consistency by querying a Text-to-Video (T2V) diffusion-based model.

The dynamic video output generated from the provided text can be viewed from any camera location and angle, and can be composited into any 3D environment. MAV3D does not require any 3D or 4D data and the T2V model is trained only on Text-Image pairs and unlabeled videos.