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This project is a diffusion-based 3D generator and image-to-3D reconstruction system. It translates natural language descriptions or two-dimensional images into three-dimensional assets using neural radiance fields and diffusion models. The system utilizes score-distillation sampling and diffusion-based guidance to refine 3D shapes without requiring 3D training data. It includes specialized tools for transforming neural representations into exportable meshes with texture and material data, as well as a pipeline for iterative optimization of geometry and textures. The project covers a broad r
Hunyuan3D-2.1 is a generative 3D framework and image-to-3D pipeline that transforms single 2D images into textured 3D geometries. It functions as an asset generator that produces high-quality 3D meshes and textures using a flow-matching system. The project includes a specialized synthesizer for creating photorealistic textures with physically based rendering properties. These tools allow for the simulation of metallic reflections and light interactions on generated models. The system covers 3D asset pipeline automation through a sequence of shape generation and mesh refinement. It also provi
ComfyUI-3D-Pack is a suite of custom nodes for ComfyUI that enables 3D asset generation and rendering within a node-based workflow. It provides a set of tools for reconstructing textured three-dimensional meshes and volumetric scenes from single images, multi-view images, or text prompts. The system includes a Gaussian splatting generator for creating high-fidelity volumetric 3D scene representations and a multi-view image generator to produce consistent image sets for reconstruction. It also features a single image 3D mesh tool to build geometry from a single 2D source. The toolset covers 3
f3d is a fast 3D model viewer and rendering engine designed for visualizing 3D meshes, CAD files, and point clouds. It operates across multiple deployment profiles, functioning as a lightweight desktop application, a scientific data visualizer for volumetric and scalar datasets, a headless rendering engine for automated image generation, and a WebAssembly-based renderer for web applications. The project distinguishes itself through specialized support for Gaussian Splatting scene reconstructions and the ability to visualize complex scientific formats such as VTK, NetCDF, and HDF. It features
DreamGaussian is a generative system and converter designed to create textured three-dimensional models from text or images using Gaussian Splatting. It functions as a pipeline for transforming two-dimensional inputs into high-fidelity 3D assets.
The main features of dreamgaussian/dreamgaussian are: Gaussian Splatting, Text-to-3D Generators, 3D Asset Pipelines, Image-to-Mesh Generation, Gaussian-to-Mesh Converters, Mesh Format Conversions, Text-to-Mesh Generation, 3D Asset Previews.
Projects with overlapping indexed features include: ashawkey/stable-dreamfusion — This project is a diffusion-based 3D generator and image-to-3D reconstruction system. It translates natural language… tencent-hunyuan/hunyuan3d-2.1 — Hunyuan3D-2.1 is a generative 3D framework and image-to-3D pipeline that transforms single 2D images into textured 3D… f3d-app/f3d — f3d is a fast 3D model viewer and rendering engine designed for visualizing 3D meshes, CAD files, and point clouds. It… mrforexample/comfyui-3d-pack — ComfyUI-3D-Pack is a suite of custom nodes for ComfyUI that enables 3D asset generation and rendering within a… openai/shap-e — Shap-E is a generative 3D modeling system that creates three-dimensional digital assets from natural language… nerfstudio-project/gsplat — gsplat is a high-performance differentiable rasterization engine for 3D Gaussian splatting, designed for real-time…