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👋 Hi3DGen Generator is now available

Hi3DGen 3D Geometry Generator

Convert ordinary images into exceptional 3D models with unprecedented geometric detail. Our innovative technology produces 3D geometries with remarkable precision and authentic structural integrity.

✨ Generate high-fidelity 3D geometries from single images!

from 99+ happy users

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Why Choose Hi3DGen

Hi3DGen is transforming the creation of detailed 3D models from images. Our technology leverages normal bridging to overcome domain gaps and ambiguities in RGB images, delivering sophisticated 3D geometry generation. Whether you're a researcher, designer, or content creator, Hi3DGen enables you to create 3D geometries with exceptional detail and accuracy.

  • Innovative Normal Estimation
    Create detailed 3D geometries with our specialized dual-stream technology and noise injection for stable, sharp estimation of intricate object details.
  • User-Friendly Experience
    Our intuitive platform makes creating high-fidelity 3D geometries accessible to everyone, regardless of technical background in 3D modeling or machine learning.
  • Normal-Regularized Precision
    Transform any image into detailed 3D geometries with exceptional control over surface details using our normal-regularized latent diffusion approach.

Hi3DGen Key Benefits

Discover what makes Hi3DGen the leading solution for high-fidelity 3D geometry generation from single images:

Generate exceptionally detailed 3D models with fine surface precision and structural integrity, preserving subtle details that conventional methods often miss.

Superior Geometric Fidelity
Normal Bridging Architecture
High-Quality Dataset

Hi3DGen Advanced Features

Innovative technology for creating exceptionally detailed 3D geometries from single images.

Noise-injected Normal Estimation

Our dual-stream approach with noise injection decouples low and high-frequency patterns for stable, sharp normal estimation.

Normal-Regularized Diffusion

Create 3D geometries with incredible detail using our normal-to-geometry learning approach that enhances surface fidelity.

DetailVerse Dataset

Models trained on our high-quality synthesized 3D assets dataset that supports impressive geometric detail generation.

Domain Gap Reduction

Specially designed to overcome limitations in reproducing fine-grained geometric details due to domain gaps in RGB images.

Two-Stage Processing

Our unique image-to-normal and normal-to-geometry approach overcomes inherent ambiguities in direct image-to-3D conversion.

High-Frequency Preservation

Advanced techniques to maintain detailed texture and structural information that other methods typically struggle to capture.

Stats

Exceptional 3D Geometry Generation

with unprecedented detail and structural accuracy.

Normal Estimation

Precise

Dual-Stream Approach

Geometry Detail

Superior

Surface Fidelity

Versatility

High

Different Objects

Testimonial

What Our Users Say

Hear from designers and developers who are creating detailed 3D models with Hi3DGen.

Alex R.

3D Artist

Hi3DGen excels at capturing intricate surface details. The normal bridging approach produces geometry with remarkable precision compared to other generators I've tried.

Sophia L.

VR Developer

For my VR projects, Hi3DGen has been essential for creating assets with convincing geometric detail from concept images. The results really enhance immersion.

Daniel C.

Product Designer

Hi3DGen has streamlined my design process completely. Converting sketches to detailed 3D prototypes is now significantly faster and produces more accurate results.

Emma W.

Architectural Visualizer

The platform is user-friendly and produces outstanding results. Hi3DGen preserves those fine geometric details that make architectural visualizations convincing.

Jason K.

Game Developer

We've incorporated Hi3DGen into our asset creation pipeline, and it's significantly improved our ability to generate high-quality 3D geometry quickly.

Mia T.

Research Scientist

As a computer vision researcher, I'm impressed by Hi3DGen's novel approach using normal bridging. The geometric accuracy is remarkable and the results are consistently reliable.
FAQ

Frequently Asked Questions about Hi3DGen

Have another question? Contact us on Discord or by email.

1

What is Hi3DGen?

Hi3DGen is an innovative AI system that generates high-fidelity 3D geometries from single images. It uses a unique normal bridging approach with a two-stage process: first estimating normals from images, then generating detailed 3D geometry from those normals.

2

Why should I use Hi3DGen?

Hi3DGen offers exceptional geometric detail that surpasses traditional methods. If you need to create detailed 3D models with accurate surface representation for research, design, or creative projects, Hi3DGen provides superior results through its innovative normal bridging approach.

3

How can I get started with Hi3DGen?

Getting started is straightforward. Simply upload your image, adjust any settings to your preference, and our system will generate a high-fidelity 3D model. Our interface is designed to be intuitive for users of all technical backgrounds.

4

Where can I learn more about Hi3DGen?

You can explore our documentation page for detailed technical information, browse through our gallery for examples, and join our community forums to connect with other users and see their creations. We also regularly publish tutorials and guides on maximizing Hi3DGen's capabilities.

5

What kind of images work best with Hi3DGen?

Hi3DGen performs best with clear, well-lit images of objects against simple backgrounds. Images that show good object definition and surface texture will yield the best geometric detail in the final 3D model.

6

Is Hi3DGen suitable for academic projects?

Absolutely! Hi3DGen is ideal for academic and research applications, from computer vision studies to creative arts projects. Many researchers and educators use Hi3DGen to demonstrate advanced concepts in 3D reconstruction and geometry processing.

Start Creating High-Fidelity 3D Models Today

Experience the next generation of 3D geometry generation with Hi3DGen.