threefiner

Introducing Threefiner: An Advanced Mesh Refinement Interface

Threefiner is a sophisticated yet easy-to-use tool designed to streamline the process of refining 3D meshes using text guidance. This innovative interface is essential for artists and developers who wish to enhance the detail and texture of 3D models with precision and efficiency. Here is a detailed overview of what Threefiner offers and how it can be used to optimize 3D modeling workflows.

Key Features

Threefiner is equipped with several powerful features that cater to a wide array of 3D modeling needs:

• Mesh In, Mesh Out: The tool supports various mesh formats including ply with vertex colors, obj, and glb/gltf for single objects, ensuring compatibility and flexibility in your projects.
• User Friendly: With both Command Line Interface (CLI) and Graphical User Interface (GUI) options available, Threefiner is accessible to users of all technical backgrounds.
• High Performance: Experience rapid texture refinement with Deepfloyd-IF-II, which enables refinement processes to be completed in just one minute.

Installation Process

Getting started with Threefiner is straightforward. It relies on torch along with some CUDA extensions, which need to be pre-installed. Here’s a step-by-step guide to setting up Threefiner:

1. Install necessary CUDA dependencies:

   pip install git+https://github.com/NVlabs/tiny-cuda-nn/#subdirectory=bindings/torch
   pip install git+https://github.com/NVlabs/nvdiffrast
   pip install git+https://github.com/ashawkey/cubvh  # optional
   

2. Log into your Hugging Face account and accept the Deepfloyd-IF model license.

3. Install Threefiner via:

   pip install threefiner  # install from PyPI
   pip install git+https://github.com/3DTopia/threefiner  # install from GitHub
   

   or clone and install locally:

   git clone https://github.com/3DTopia/threefiner
   cd threefiner
   pip install .
   

Usage Guidelines

Utilizing Threefiner is intuitive whether you prefer using the CLI or GUI. Here are some key command functionalities to help you start refining your meshes:

• CLI Commands:

  • View available commands with threefiner --help.
  • Refine a coarse mesh: threefiner sd --mesh input.obj --prompt 'a hamburger' --outdir logs --save hamburger.glb.
  • Refinement with initial good texture: threefiner if2 --mesh name.glb --prompt 'description'.

• Advanced Usage:

  • Specify directional text prompts and front direction using --front_dir.
  • Adjust training iterations for refinement processes.
  • Only refine texture while fixing geometry with commands like threefiner if2 --fix-geo.

• GUI Access: Visualize the training progress by opening a GUI with: threefiner if2 --mesh input.glb --prompt 'description' --gui.

Additional Support

For further assistance and more advanced examples, users can explore the scripts section of the Threefiner documentation.

Common Q&A

• Front Direction Setup: Visualize 3D models in a viewer that adheres to the OpenGL coordinate system to find out the appropriate --front_dir.

• Handling OpenGL Errors: If running Threefiner on a headless server without OpenGL, add --force_cuda_rast to leverage the CUDA rasterizer alternative.

Acknowledgements

Threefiner is founded on numerous state-of-the-art research endeavors and generous open-source contributions. It seamlessly integrates various innovative solutions, including tools from diffusers, diso, nerf2mesh, tinycudann, nvdiffrast, and dearpygui, further enriching the modeling experience.

With Threefiner, enhancing and refining 3D models is simplified, allowing for high-quality results without the complexity. This tool remains an invaluable asset for industry professionals looking for efficient and user-friendly solutions in digital art and design.