3D AI Tools
Free 3D AI tools for creating, optimizing, and manipulating 3D assets for games, films, and design projects, boosting your creative process.
3D Neural Field Generation using Triplane Diffusion can create high-quality 3D models from 2D images. It uses a diffusion model to turn ShapeNet meshes into continuous occupancy fields, achieving top results in 3D generation for various object types.
TextureDreamer can transfer detailed textures from just 3 to 5 images to any 3D shape. It uses a method called geometry-aware score distillation to improve texture quality beyond previous techniques.
Latent-NeRF can generate 3D shapes and textures by combining text and shape guidance. It uses latent score distillation to apply this guidance directly on 3D meshes, allowing for high-quality textures on specific geometries.
One-2-3-45 can generate a complete 360-degree 3D textured mesh from a single image in just 45 seconds. It uses a view-conditioned 2D diffusion model to create multiple images, resulting in better geometry and consistency than other methods.
EVA3D can generate high-quality 3D human models from 2D image collections. It uses a method called compositional NeRF for detailed shapes and textures, and it improves learning with pose-guided sampling.
Splatter Image can reconstruct a 4D video from a single image at 38 frames per second and render them at 588 frames per second.
ARF: Artistic Radiance Fields can transfer the style of a 2D image to a 3D scene by stylizing radiance fields. It captures style details while ensuring that different views of the scene look consistent, resulting in high-quality 3D content that closely matches the original style image.
[Temporal Residual Jacobians] can transfer motion from one 3D mesh to another without needing rigging or shape keyframes. It uses two neural networks to predict changes, allowing for realistic motion transfer across different body shapes.