Yeah it's a hard problem for these image generation models. For better results, they need to train on a large database of image-metadata pairings, but the actual number of open-source assets is fairly small. I've created open-source assets. But I realize not everyone can nor wants to do this.
Hey Eric! I understand your interest in wanting to know more about our Gen AI pipeline and where it is used. I hope the explanation I provide answers your query. On using Gen-AI: * We are using GenAI for using our single image-to-3D service and text-to-3D service, which is based on diffusion models. * Our NeRF processing…
Thanks for the reply, mahi. Unfortunately, if your service is replying on diffusion models, then it has likely been trained using web-scraped datasets (for example LAION and CIFAR-10) which infringe copyrights when they're subsequently used for commercial purposes. For example LAION is not for commercial use, see…