CPU3DAI tools for 3D, video and audio

Unique3D: 3D generator — what it does and what you need to run it

Unique3D is an open-source tool designed to generate a 3D mesh from a single image. The developers position it as a solution for fast, high-quality conversion of a flat image into a 3D model, which can be useful for concept art, prototyping, or scene filling tasks.

What it does

  • Generates a 3D mesh from a single source image.
  • As described by the author, the algorithm delivers high quality and efficient generation.
  • Operates in the image-to-3D paradigm.
  • The project code is open source and available for study, modification, and local running.

What you need to run it

  • Platform: the authors adapted the code for Ubuntu 22.04.4 LTS and CUDA 12.1. An NVIDIA GPU with CUDA support is required.
  • Language: Python.
  • License: MIT. Permits free use, including commercial, with preservation of the copyright notice.
  • Deployment type: local. The authors do not provide a cloud version or web interface; the service can only be run on your own hardware by following the instructions in the repository.
  • Repository: github.com/AiuniAI/Unique3D. The latest code change was committed on July 17, 2025.
  • Project website: wukailu.github.io/Unique3D.

Who it is for

The tool will be useful for developers and researchers working in an Ubuntu environment with NVIDIA GPUs who are ready to deploy a Python project from source code. It suits those who need automatic generation of 3D meshes from reference images and are comfortable with the command line.

It is not suitable for users without access to a CUDA-capable GPU, nor for those looking for a ready-made application with a graphical interface or a cloud service that requires no environment setup. The authors do not specify VRAM requirements, so before running it, you should consider the typical needs of modern 3D generation models.

Unique3D is an open-source research project that can be adapted to your own pipelines. Note that all information about performance and quality is based on the developers' description, and independent testing will require preparing an environment strictly matching the specified OS and CUDA versions.

Unique3D pipeline Generating a 3D model from a single image Image Single RGB image as input Formats: PNG, JPEG, WEBP Preprocessing Normalization and background removal CUDA acceleration on GPU Generation Neural network creates 3D geometry Mesh Texturing Color mapping and UV unwrapping High texture quality Result: ready 3D model High-quality 3D model with geometry and textures, generated from a single image in one pass Export formats: OBJ, GLB, PLY, STL Platform: CUDA 12.1 · Ubuntu 22.04 · Python · MIT License
How the Unique3D pipeline works. The diagram is drawn from the tool’s fact sheet.

Fact sheet

Repository · Developer’s site

Code licenseMIT source
PlatformCUDA per the author’s description source
LanguagePython source
Last code change2025-07-17 source
Repository created2024-05-30 source
Changes often — as of 2026-08-19
GitHub stars3576 source
Forks292 source

Values are collected automatically from official sources and were checked on 2026-08-19. Each one links to its source, and values taken from the developer’s pages also carry a verbatim quote — hover over the note. Pricing and versions are shown as of the check date and change most often; verify on the vendor’s site before buying.

See also