LGM 3D

Paid

High-Resolution 3D Content Creation from Text or Single Image in Seconds

5.0

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Inputs: text, image

Type

Saas

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About LGM 3D

LGM (Large Multi-view Gaussian Model) is a novel framework presented at ECCV 2024 that generates high-resolution 3D content from text prompts or single-view images. It uses multi-view Gaussian features as an efficient 3D representation and an asymmetric U-Net backbone to process multi-view images produced by diffusion models. The system achieves high-fidelity 3D object generation in under 5 seconds at a training resolution of 512.

Key Features

Generates 3D models from text prompts or single-view images

Uses multi-view Gaussian features for efficient 3D representation

Asymmetric U-Net backbone for high-throughput multi-view processing

Achieves training resolution of 512 for high-resolution output

Fast generation speed: produces 3D objects within 5 seconds

Supports both image-to-3D and text-to-3D pipelines

Exports meshes from generated 3D models

Pros & Cons

Pros

Generates high-resolution 3D models (512 resolution) in under 5 seconds
Works from both text prompts and single-view images
State-of-the-art results with high fidelity, as validated by ECCV 2024 acceptance
Efficient representation enables fast differentiable rendering

Cons

Requires significant GPU memory and compute for training and inference
Output quality may vary depending on input text or image complexity
Currently a research project, not a commercial product with full support
License or usage terms not specified on the website

Best For

Creating 3D assets from text descriptions for games, VR, or designConverting a single photograph into a full 3D modelRapid prototyping of 3D content with high resolutionResearch in 3D generation and multi-view learning

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FAQ

What is LGM?

LGM stands for Large Multi-view Gaussian Model, a framework for high-resolution 3D content creation from text prompts or single-view images. It was presented as an Oral at ECCV 2024.

How fast can LGM generate a 3D model?

LGM can generate a 3D object within 5 seconds, while operating at a training resolution of 512.

What inputs does LGM accept?

LGM accepts either text prompts or single-view images as input.

What outputs does LGM produce?

LGM produces a 3D model represented as multi-view Gaussian features, which can be exported as meshes.

Where can I find the code and paper?

The paper is available on arXiv (arXiv:2402.05054) and the code is linked from the project website.