Transform Images Into 3D Models With Convolutional Reconstruction Model

Unleash new dimensions with the Convolutional Reconstruction Model. This open-source AI model generates photorealistic 3D meshes from single images rapidly.

CRM (Convolutional Reconstruction Model) is an open-source AI image-to-3D model that generates multi-view images based on a single image you provide, creates colored conformal meshes, and produces a photorealistic 3D model.

CRM opens up new creative possibilities for artists and designers. You can bring your 2D concepts to life as textured 3D assets ready for games, animation, AR/VR, and more. The model’s speed also allows for rapid iteration and experimentation.

In fields like architecture and product design, CRM simplifies visualization. Designers can quickly mock up 3D models from reference images to evaluate ideas. This accelerates workflows and reduces costly physical prototyping early on.

Educators and museums could use CRM to digitize artifacts, creating interactive 3D exhibits from photos. Travel companies could offer immersive virtual tours from destination images.

How to use it:

1. To get started with the Convolutional Reconstruction Model, first install the required packages listed in requirements.txt.

gradio
huggingface-hub
diffusers==0.24.0
einops==0.7.0
Pillow==10.1.0
transformers==4.27.1
open-clip-torch==2.7.0
opencv-contrib-python-headless==4.9.0.80
opencv-python-headless==4.9.0.80
xformers
omegaconf
rembg
git+https://github.com/NVlabs/nvdiffrast
pygltflib
kiui
trimesh
xatlas
ninja
pymeshlab

2. Check out these resources for more details:

3. Check out the video demonstration to see the magic of image-to-3D conversion in action.

4. Feeling ready? Try the model yourself on platforms like Hugging Face or Replicate to experience its power firsthand.

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