point-e VS stable-dreamfusion

What bugs did you encounter? And yes, because we're using actual 3D models, there's a fixed set of models (right now, just under 300). Because the priority is ultra-realism, the current state-of-the-art for 3D model diffusion won't cut it (see OpenAI Point-e https://github.com/openai/point-e).

the mesh was generated with a prompt generated from GPT using an online implementation of Point-E at https://magus.gg/imagine

Point-E

2D image to 3D point cloud converter. Can be AI-based or manual implementation. I tried point-e from OpenAI but it's not producing expected results

NP this one is way faster I don’t think it uses nerfs https://github.com/openai/point-e

2023 should see some interesting developments here. OpenAI already released the beginning of their 3D Dall-E called Point-E.

Who is working on it? I've seen a few other models that do this, like Stable-Dreamfusion.

I haven't tried Stable-DreamFusion, but it might be able to take an input image along with a prompt?

similar to Magic3D and Dreamfusion / Stable-Dreamfusion, but this one looks a lot more vivid and detailed!

I've seen a few "text-to-3D" models that use Stable Diffusion. Zero-1-to-3 and Stable-DreamFusion appear to be capable of generating 3D models from text prompts.

Ever heard of Stable Dreamfusion ? Open source text to 3D mesh model

I followed the steps in this repo. They added my turtle as an example to the repo after their latest improvements. https://github.com/ashawkey/stable-dreamfusion

There is an (independent?) implementation here, released last week to 0.1, but it already has a 100 issues.

But there's stable-dreamfusion, still not good but you could try it.

Dreamfusion -- text-to-3d seems like it could be useful here: https://dreamfusion3d.github.io/ (once successfully opensourced, see https://github.com/ashawkey/stable-dreamfusion)

Rigging also looks like it could have a decent AI/DNN solution: https://arxiv.org/pdf/2005.00559.pdf