GET3D

GET3D - generate 3D meshes from text or images | Awesome Repos

Features

Mesh and Geometry Generators - Implements a generative model that synthesizes high-quality 3D meshes and geometry from image and text inputs.
Single-Image 3D Reconstructions - Reconstructs high-fidelity 3D tetrahedral meshes and textures from a single 2D input image.
Single-View Shape and Texture Estimations - Estimates 3D geometry, textures, and lighting from a single-view image without requiring 3D supervision data.
Geometry and Texture Disentanglement - Enables independent control of a 3D object's physical geometry and its surface texture through distinct latent representations.
Directional Loss Optimizers - Refines 3D generative models by optimizing the gradient between text embeddings and the generated output.
Text-to-3D Generators - Generates specific 3D geometric shapes and textures from descriptive text prompts using directional loss optimization.
Unsupervised Material Estimation - Learns view-dependent lighting and surface appearance properties without requiring explicit 3D ground truth labels.
Simulation Meshes - Produces physics-ready tetrahedral meshes designed for direct integration into simulation engines.
Generative 3D Modeling - Provides a deep learning framework for synthesizing high-quality 3D textured shapes and tetrahedral meshes.
Differentiable Volume Rendering - Utilizes a differentiable volume renderer to project 3D data into 2D images for gradient-based optimization.
Isosurface Extractors - Converts volumetric occupancy grids into high-quality 3D meshes using isosurface extraction techniques.
Latent-Based Textured Mesh Generation - Produces detailed 3D geometry and surface appearances by generating textured meshes from latent codes.
Unsupervised Material Generation - Generates realistic view-dependent lighting and material surfaces in an unsupervised manner to enhance visual fidelity.
Differentiable Rendering - Utilizes a differentiable renderer to allow gradients to optimize 3D geometry and textures based on 2D views.
3D Shape Interpolations - Provides a latent space interpolator to create smooth transitions between different 3D objects.
Novel View Synthesis Engines - Synthesizes realistic visual perspectives of 3D objects from new camera angles using fast convergence methods.
Voxel-to-Shape Upsampling - Transforms low-resolution voxel data into detailed, high-quality geometric 3D reconstructions.
Point Cloud Reconstruction - Generates precise volumetric 3D meshes from noisy point cloud data by optimizing occupancy and vertex placement.
Mesh and Voxel Conversions - Transforms low-resolution volumetric grids into high-fidelity geometric surfaces using generative networks.
Shape Interpolators - Provides algorithms to create smooth geometric transitions between different 3D objects via latent space traversal.
Latent Space Interpolations - Implements latent space interpolation to produce smooth transitional sequences between different generated 3D shapes.

Open-source alternatives to GET3D

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See all 30 alternatives to GET3D

nv-tlabsGET3D

Features

Open-source alternatives to GET3D

openai/point-e

threestudio-project/threestudio

openai/shap-e

microsoft/TRELLIS

Star history

Open-source alternatives to GET3D

openai/point-e

threestudio-project/threestudio

openai/shap-e

microsoft/TRELLIS