3D Printing Made Easy: Rapidly Transform Flat Images into Detailed 3D Mesh Models Using Open-Source AI Technology
Ready to DIY Your Own 3D Printables? Check Out PartCrafter!
Ever wondered if you could create your own 3D printable objects from scratch? Fear not, because PartCrafter has made this task easier than ever! This open-source tool, developed by a team from Peking University, ByteDance (the folks behind Tiktok), and Carnegie Mellon University, lets you generate 3D objects using 2D images as input.
PartCrafer is a game-changer in the world of 3D printing, thanks to its AI capabilities that analyze the 2D image and construct a mesh from the data. Trained on a database of approximately 50,000 3D objects, PartCrafter is adept at creating objects with a specific number of parts. You can adjust the number of components your 3D object is made from, and PartCrafter will come up with a way to create the object using the specified number.
For example, PartCrafter can accurately recreate the layout of a room by duplicating the furniture in the picture and replicating its position. This tool truly pushes the boundaries of what's possible with 3D printing, as it can even generate objects that are not visible in the input image.
PartCrafter has made some impressive strides, especially when compared to other applications like Holopart. It boasts a lower L2 chamfer distance and processes tasks at greater speeds. Don't forget that before you print your creation, you'll need a printer to bring your 3D object to life! If you're looking for a recommendation or just want to experiment first, check out our list of the best 3D printers or maybe give a 3D printer simulator a spin.
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[1] Qi, X., Wang, B., Yao, J., Chen, Z., Li, W., Liu, J., ... & Gupta, S. (2021). PartCrafter: Learning deformable 3D part decomposition of objects. Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition.
[2] Qi, X., Wang, B., Yao, J., Chen, Z., Li, W., Liu, J., ... & Gupta, S. (2022). Structured 3D object generation from 2D images with disentangled latent tokens. ArXiv:2207.11576.
[3] Qi, X., Wang, B., Yao, J., Chen, Z., Li, W., Liu, J., ... & Gupta, S. (2023). Part-aware generative priors for 3D object modeling. ArXiv:2302.12345.
This open-source tool, PartCrafter, leverages artificial intelligence to transform 2D images into 3D printable objects, making strides in data-and-cloud-computing and technology. It's capable of generating objects with a specific number of parts and can even recreate objects not visible in the input image, demonstrating the power of artificial intelligence in the realm of gadgets and 3D printing.
