3D AI Tools
Free 3D AI tools for creating, optimizing, and manipulating 3D assets for games, films, and design projects, boosting your creative process.
StyleSplat can stylize 3D objects in scenes represented by 3D Gaussians from reference style images. The method is able to localize style transfer to specific objects and supports stylization with multiple styles.
Long-LRM can reconstruct large 3D scenes from up to 32 input images at 960x540 resolution in just 1.3 seconds on a single A100 80G GPU.
GarmentDreamer can generate wearable, simulation-ready 3D garment meshes from text prompts. The method is able to generate diverse geometric and texture details, making it possible to create a wide range of different clothing items.
SPARK can create high-quality 3D face avatars from regular videos and track expressions and poses in real time. It improves the accuracy of 3D face reconstructions for tasks like aging, face swapping, and digital makeup.
Scaling Mesh Generation via Compressive Tokenization can generate high-quality meshes with over 8,000 faces.
DimensionX can generate photorealistic 3D and 4D scenes from a single image using controllable video diffusion.
CLoSD can control characters in physics-based simulations using text prompts. It can navigate to goals, strike objects, and switch between sitting and standing, all guided by simple instructions.
CityGaussianV2 can reconstruct large-scale scenes from multi-view RGB images with high accuracy.
PF3plat can generate photorealistic images and accurate camera positions from uncalibrated image collections.
NoPoSplat can reconstruct 3D Gaussian scenes from multi-view. It achieves real-time reconstruction and high-quality images, especially when there are few input images.
GANs aren’t dead yet. SphereHead generates stable and high-quality 3D full-head human faces from all angles with significantly fewer artifacts compared to previous methods. Best one I’ve seen so far.
MoGe can turn images and videos into 3D point maps.
HeadStudio is another text-to-3D avatar model that can generate animatable head avatars. The method is able to produce high-fidelity avatars with smooth expression deformation and real-time rendering.
DepthSplat can reconstruct 3D scenes form only a few images by connecting Gaussian splatting and depth estimation.
MonST3R can estimate 3D shapes from videos over time, creating a dynamic point cloud and tracking camera positions. This method improves video depth estimation and separates moving from still objects more effectively than previous techniques.
GS^3 can relight scenes in real-time using a triple Gaussian splatting process. It achieves high-quality lighting and view synthesis from multiple images, running at 90 fps on a single GPU.
DreamWaltz-G can generate high-quality 3D avatars from text and animate them using SMPL-X motion sequences. It improves avatar consistency with Skeleton-guided Score Distillation and is useful for human video reenactment and creating scenes with multiple subjects.
SceneCraft can generate detailed indoor 3D scenes from user layouts and text descriptions. It is able to turn 3D layouts into 2D maps, producing complex spaces with diverse textures and realistic visuals.
Animate3D can animate any static multi-view 3D model.
Trans4D can generate realistic 4D scene transitions with expressive object deformation.