NeRFs – An Al Alternative to Reduce Cost
Bringing down 3D modelling cost can enable more businesses to adopt 3d ecommerce faster. AI is showing a better promise everyday. Recent AI developments to create 3D models from 2D images automatically can reduce pricing abruptly.
Here's a list of 8 AI powered NeRFs (Neural radiance fields) GitHub repo that can build 3D models simply from 2D image input. Now you can try building an AI pipeline using these open source NeRFs and reduce cost for 3D generations.
1. Magic123 – One Image to High-Quality 3D Object Generation Using Both 2D and 3D Diffusion Priors.
2. Make-It-3D – High-Fidelity 3D Creation from A Single Image with Diffusion Prior.
3. Zero-1-to-3 – Zero-shot One Image to 3D Object.
4. Stable-Dreamfusion – A pytorch implementation of the text-to-3D model Dreamfusion, powered by the Stable Diffusion text-to-2D model.
5. Michelangelo – Conditional 3D Shape Generation based on Shape-Image-Text Aligned Latent Representation
6. NeuralLift-360 – Lifting An In-the-wild 2D Photo to A 3D Object with 360° Views.
7. FloorplanToBlender3d – Creating 3D floorplan from a 2D image.
8. Synthesize3DviaDepthOrSil – Synthesizing 3D Shapes via Modeling Multi-View Depth Maps and Silhouettes with Deep Generative Networks.
Now comes the Bonus Part – Here's a list of 32 more such Github repos to explore.
List of 32 Git AI Repos – 3D Object Reconstruction From A Single Image.
What is the Next Step?
You can leverage the AI pipeline. Build your AI army to tackle the burning cost of 3D model genaration and bring the cost down to benefit your customers. This will create low entry barrier for many companies to adopt 3D ecommerce faster and you can easily sell more in volumes to businesses.
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