AiuniAI/Unique3D

Health v2 · maintenance only

Flags: no_releases

Adoption not part of the score

3579 stars · 295 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded

Unique3D is the official implementation of a NeurIPS 2024 paper that generates high-quality textured 3D meshes from a single image in about 30 seconds. It combines a multi-view diffusion model with normal maps and an ISOMER mesh reconstruction algorithm, runnable locally via Gradio, Docker, or ComfyUI.

Use cases

• generate a 3d mesh from a single photo
• convert an image into a textured 3d model
• create 3d assets from single-view images for games
• reconstruct 3d geometry with normal maps from one image
• run image-to-3d generation locally on gpu
• integrate image-to-3d into comfyui workflows

When to choose

• you need fast single-image to textured-mesh generation with high fidelity
• you want a local, self-hosted image-to-3d pipeline with GPU
• you need a research-grade NeurIPS-published image-to-3d model with weights available

When to avoid

• you need training code or fine-tuning (not yet released)
• you lack a CUDA GPU or cannot handle heavy dependencies like mmcv and triton
• you need guaranteed production stability - the repo is still under construction

Facets

library · maturity active

machine-learning deep-learning image-processing graphics simulation artificial-intelligence computer-vision graphics machine-learning deep-learning windows python image-to-3d 3d-mesh-generation multi-view-diffusion textured-mesh aigc neurips-2024 gradio-demo comfyui linux gpu docker

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markdown · JSON · MCP: product_card(name="AiuniAI/Unique3D")