This is the official code and model release for Shap-E: Generating Conditional 3D Implicit Functions. See Usage for guidance on how to use this repository. Sample_text_to_3d.ipynb · Model-card.md · Issues 86 · MIT license

A colab friendly toolkit to generate 3D mesh model / video / nerf instance / multiview images of colourful 3D objects by text and image prompts input.

Official implementation of Unique3D: High-Quality and Efficient 3D Mesh Generation from a Single Image. Kailu Wu, Fangfu Liu, Zhihan Cai, Runjie Yan, Hanyang ... AiuniAI/Unique3D · GitHub · For Windows users #15 · README.md · Actions

This tool allows users to input prompts and instantly generate multiple 3D models complete with textures and materials.

Idea is to take 3D objects and create relationships between the objects in 3D space using AI. Final results of generated new object can be a game character, ...

Our model is distinguished by its ability to rapidly process inputs, generating high-quality 3D models in less than 0.5 seconds on an NVIDIA A100 GPU. README.md · Gradio_app.py · Run.py · Issues 70

Against the backdrop of the great digital expanse, CLAY orchestrates a vibrant explosion of 3D creativity, marking the dawn of imagination unleashed.

Our method presents the first attempt to achieve high-quality 3D creation from a single image for general objects and enables various applications.

Pix2pix3D synthesizes 3D objects (neural fields) given a 2D label map, such as a segmentation or edge map. We also provide an interactive 3D editing demo.

A pytorch implementation of the text-to-3D model Dreamfusion, powered by the Stable Diffusion text-to-2D model. New zero123-XL released #327 · Issues 187 · 335 · Main.py