

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"]
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
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