Dreamgaussian

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dreamgaussian is an open-source tool that enables efficient 3D content creation through generative Gaussian splatting. It supports generating 3D models from both images and text prompts, offering quick iteration for creators.

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At a glance

Pricing

Open Source

Free tier

Yes

API

Skill level

Technical

About

What is dreamgaussian?

DreamGaussian provides an official implementation for generative Gaussian splatting, a technique for efficient 3D content creation. This open-source tool allows users to generate 3D models from single images or text prompts, significantly accelerating the 3D asset pipeline. It features experimental support for advanced models like ImageDream, Stable-Zero123, and MVDream, expanding its generative capabilities. The tool includes functionalities for preprocessing images, training Gaussian splatting models, refining meshes, and visualizing the results, including 360-degree video exports. It's designed for researchers and creators looking for fast and flexible 3D model generation.

Best used for

Ideal for developers and content creators who need to rapidly generate 3D models from images or text prompts, refine meshes, and visualize their creations. Especially valuable for those experimenting with generative AI for 3D content and seeking efficient workflows.

Common actions

generate 3D models

create 3D content

convert image to 3D

convert text to 3D

visualize 3D assets

collaborationdeepfakeopen-sourceautomated workflowworkflowslow-code/no-codeface swapping"AI Agents"github copilot

Capabilities

Key features

Image-to-3D generation
Text-to-3D generation
Gaussian splatting training
Mesh refinement
3D model visualization
360-degree video export
ImageDream support

Target Audience

developercontent creatorgraphic designer

Integrations

Not yet documented

Pricing & Plans

Open Source

Free

FAQs

What are the system requirements for running DreamGaussian?

DreamGaussian has been tested on Ubuntu 22 with torch 1.12 & CUDA 11.6 on a V100, and Windows 10 with torch 2.1 & CUDA 12.1 on a 3070. Users should ensure they have a compatible environment for optimal performance.

Can DreamGaussian generate 3D models from both images and text?

Yes, DreamGaussian supports both image-to-3D and text-to-3D generation. Users can input a single image or a text prompt to create 3D models, with experimental support for various generative models like ImageDream and MVDream.

Does DreamGaussian offer a graphical user interface (GUI) for interaction?

DreamGaussian includes a Gradio demo for image-to-3D functionality, allowing for a more interactive experience. It also supports a GUI mode during training and for visualizing saved checkpoints or meshes.

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