ComfyUI3D Pack
C
Comfyui3d Pack
Overview :
The ComfyUI-3D-Pack is a powerful node plugin for 3D processing, enhancing ComfyUI with the capability to handle 3D inputs (meshes, UV textures, etc.) using cutting-edge algorithms such as 3D Gaussian sampling and neural radiance fields. This project allows users to rapidly generate 3D Gaussian models from a single image, converting Gaussian models to meshes for 3D reconstruction. It also supports multi-view images as inputs, enabling the mapping of multi-view rendered textures onto the given mesh UVs. Currently in development and not officially released to the ComfyUI plugin library, it already includes features such as large multi-view Gaussian models, three-plane Gaussian transformers, 3D Gaussian sampling, depth mesh triangulation, and 3D file loading and saving (obj, ply, glb, etc.). Its aim is to become a robust tool for ComfyUI's 3D content processing.
Target Users :
["Quick image-to-3D reconstruction","Generate 3D digital art","Semantic image editing","Synthetic data augmentation"]
Total Visits: 492.1M
Top Region: US(19.34%)
Website Views : 69.3K
Use Cases
Quickly generate 3D Gaussian models from a single image
Map multi-view rendering results onto 3D meshes to achieve fine reconstruction
Load obj files, transform coordinate systems, then export as ply format
Features
Supports quick generation of 3D Gaussian models from a single image
Supports conversion of 3D Gaussian models to meshes
Built-in 3D Gaussian and mesh visualization
Supports generating trajectory camera pose
Supports baking multi-view images onto UV maps of given meshes
Supports loading and saving 3D files (obj, ply, glb, etc.)
Provides various coordinate transformation tools
AIbase
Empowering the Future, Your AI Solution Knowledge Base
© 2025AIbase