3D Object Generation
Free 3D object generation AI tools for quickly creating assets for games, films, and animations, optimizing your creative projects effortlessly.
3D-Fauna is able to turn a single image of a quadruped animal into an articulated, textured 3D mesh in a feed-forward manner, ready for animation and rendering.
WiLoR can localize and reconstruct multiple hands in real-time from single images. It achieves smooth 3D hand tracking with high accuracy, using a large dataset of over 2 million hand images.
PhysAvatar can turn multi-view videos into high-quality 3D avatars with loose-fitting clothes. The whole thing can be animated and generalizes well to unseen motions and lighting conditions.
3DTopia-XL can generate high-quality 3D PBR assets from text or image inputs in just 5 seconds.
ExAvatar can animate expressive whole-body 3D human avatars from a short monocular video. It captures facial expressions, hand motions, and body poses in the process.
DreamBeast can generate unique 3D animal assets with different parts. It uses a method from Stable Diffusion 3 to quickly create detailed Part-Affinity maps from various camera views, improving quality while saving computing power.
DrawingSpinUp can animate 3D characters from a single 2D drawing. It removes unnecessary lines and uses a skeleton-based algorithm to allow characters to spin, jump, and dance.
DreamHOI can generate realistic 3D human-object interactions (HOIs) by posing a skinned human model to interact with objects based on text descriptions. It uses text-to-image diffusion models to create diverse interactions without needing large datasets.
LogoMotion can turn logos from layered PDF files into content-aware animated HTML canvas animations. Very cool!
SparseCraft can reconstruct 3D shapes and appearances from just three colored images. It uses a Signed Distance Function (SDF) and a radiance field, achieving fast training times of under 10 minutes without needing pretrained models.
DiffComplete can complete 3D shapes from incomplete scans using a diffusion-based method.
Interactive3D can generate high-quality 3D objects that users can easily modify. It allows for adding and removing parts, dragging objects, and changing shapes.
ClickDiff can generate controllable grasps for 3D objects. It employs a Dual Generation Framework to produce realistic grasps based on user-specified or algorithmically predicted contact maps.
SV4D can generate dynamic 3D content from a single video. It ensures that the new views are consistent across multiple frames and achieves high-quality results in video synthesis.
DreamCar can reconstruct 3D car models from just a few images or single-image inputs. It uses Score Distillation Sampling and pose optimization to enhance texture alignment and overall model quality, significantly outperforming existing methods.
3DWire can generate 3D house wireframes from text! The wireframes can be easily segmented into distinct components, such as walls, roofs, and rooms, reflecting the semantic essence of the shape.
An Object is Worth 64x64 Pixels can generate 3D models from 64x64 pixel images! It creates realistic objects with good shapes and colors, working as well as more complex methods.
GeneFace can generate high-quality 3D talking face videos from any speech audio. It solves the head-torso separation problem and provides better lip synchronization and image quality than earlier methods.
BRDF-Uncertainty can estimate the properties of the materials on an object’s surface in seconds given its geometry and a lighting environment.
Portrait3D can generate high-quality 3D heads with accurate geometry and texture from a single in-the-wild portrait image.