Best Free AI tools for AI 3D Model Generator in Perchance AI

Discover over 49 free AI tools designed for AI 3D Model Generator. Find the best AI solutions to meet your needs, from generators to specialized services.
Monster Mash: Sketch-Based Modeling and Animation Tool

Monster Mash: Sketch-Based Modeling and Animation Tool

Monster Mash is a sketch-based modeling and animation tool that allows users to quickly sketch a character, inflate it into 3D, and animate it.
NVIDIA Neuralangelo: AI-Powered 3D Reconstruction for Creative Professionals

NVIDIA Neuralangelo: AI-Powered 3D Reconstruction for Creative Professionals

NVIDIA Neuralangelo is an AI model that uses neural networks to reconstruct 3D scenes from 2D video clips, generating detailed 3D structures with intricate textures and lifelike virtual replicas of buildings, sculptures, and other real-world objects.
PanoHead: Geometry-Aware 3D Full-Head Synthesis in 360°

PanoHead: Geometry-Aware 3D Full-Head Synthesis in 360°

PanoHead is a 3D-aware generative model that enables high-quality view-consistent image synthesis of full heads in 360° with diverse appearance and detailed geometry using only in-the-wild unstructured images for training.
Meshy - Free 3D AI Model Generator

Meshy - Free 3D AI Model Generator

Meshy is a powerful 3D AI model generator that empowers artists, game developers, and creators to bring their visions to life with a toolkit for creating 3D models in minutes.
DreamGaussian - Generative Gaussian Splatting for 3D Content Creation

DreamGaussian - Generative Gaussian Splatting for 3D Content Creation

DreamGaussian is a novel 3D content generation framework that achieves both efficiency and quality simultaneously, leveraging a generative 3D Gaussian Splatting model with companioned mesh extraction and texture refinement in UV space.
MVDream: Multi-view Diffusion for 3D Object Generation

MVDream: Multi-view Diffusion for 3D Object Generation

MVDream is a cutting-edge AI tool for generating 3D objects and scenes in a multi-view consistent way. It utilizes advanced diffusion models to create highly detailed and realistic objects, from fantastical creatures to everyday items.
CSM 3D Viewer - Explore Stunning 3D Assets and Models

CSM 3D Viewer - Explore Stunning 3D Assets and Models

CSM 3D Viewer is a cutting-edge platform for discovering and interacting with 3D assets, including asset packs, animated meshes, and more.
Brick AI - AI Brick Generator, Custom Brick Sets and Minifigures | BrickCenter

Brick AI - AI Brick Generator, Custom Brick Sets and Minifigures | BrickCenter

BrickCenter AI Brick Generator is a free online tool that uses AI to generate custom brick sets and minifigures. Users can create their own brick sets and minifigures using the tool's AI-powered generator.
Make-A-Character: High Quality Text-to-3D Character Generation within Minutes

Make-A-Character: High Quality Text-to-3D Character Generation within Minutes

Make-A-Character is a user-friendly framework that creates lifelike 3D avatars from text descriptions. It leverages large language and vision models for textual intention understanding and intermediate image generation, followed by human-oriented visual perception and 3D generation modules.
GaussianObject: High-Quality 3D Object Reconstruction from Four Views with Gaussian Splatting

GaussianObject: High-Quality 3D Object Reconstruction from Four Views with Gaussian Splatting

GaussianObject is a framework for representing and rendering 3D objects with Gaussian splatting, achieving high rendering quality with only 4 input images.
TripoSR: Fast 3D Object Generation from Single Images - Stability AI

TripoSR: Fast 3D Object Generation from Single Images - Stability AI

TripoSR is a fast 3D object reconstruction model that generates high-quality 3D models from a single image in under a second.
4D Gaussian Splatting for Real-Time Dynamic Scene Rendering

4D Gaussian Splatting for Real-Time Dynamic Scene Rendering

4D Gaussian Splatting (4D-GS) is a holistic representation for dynamic scenes, enabling real-time rendering while maintaining high training and storage efficiency. It combines 3D Gaussians and 4D neural voxels, using a decomposed neural voxel encoding algorithm and a lightweight MLP to predict Gaussian deformations at novel timestamps.