shap-e
3D generator
This repository provides an implementation of a 3D object generation model conditioned on text or images
Generate 3D objects conditioned on text or images
12k stars
233 watching
954 forks
Language: Python
last commit: about 2 years agoLinked from 1 awesome list
Related projects:
| Repository | Description | Stars |
|---|---|---|
| Generates 3D point clouds from text prompts or images. | 6,567 | |
| A diffusion-based text-conditional image synthesis model | 3,562 | |
| A C++ library for rapid development of software that processes 3D data | 11,648 | |
| An OpenAI GPT-4 API-integrated plugin for controlling Blender using natural language commands in Python. | 4,611 | |
| A research project simulating human behavior in interactive environments. | 17,888 | |
| A neural network trained on image and text pairs to predict the most relevant text snippet given an image | 26,460 | |
| Generates 3D content from text using a combination of neural networks and image synthesis. | 8,351 | |
| A unified framework for 3D content generation | 6,410 | |
| Provides an end-to-end framework for 3D reconstruction from images | 5,787 | |
| Generates images from text prompts using a variant of the DALL-E model | 14,756 | |
| Converts screenshots into functional code using AI models. | 65,437 | |
| An implementation of a deep learning-based facial cartoonization system using TensorFlow | 3,958 | |
| Automates photorealistic rendering of 3D scenes using Blender | 2,872 | |
| Software that uses computer vision and photogrammetry to create 3D models from photographs. | 11,340 | |
| Demonstrates rendering of CAD models using mesh shaders for high-performance rendering | 373 |