stable-dreamfusion
point-e
stable-dreamfusion | point-e | |
---|---|---|
41 | 33 | |
7,813 | 6,304 | |
- | 0.8% | |
7.2 | 0.0 | |
5 months ago | 6 months ago | |
Python | Python | |
Apache License 2.0 | MIT License |
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stable-dreamfusion
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When are we getting stable diffusion for 3d models or 3d scenes?
Who is working on it? I've seen a few other models that do this, like Stable-Dreamfusion.
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Is it possible for me to approximate a depth map from a generated image and make a 3D model?
I haven't tried Stable-DreamFusion, but it might be able to take an input image along with a prompt?
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Meet ProlificDreamer: An AI Approach That Delivers High-Fidelity and Realistic 3D Content Using Variational Score Distillation (VSD)
similar to Magic3D and Dreamfusion / Stable-Dreamfusion, but this one looks a lot more vivid and detailed!
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How would you all feel about 3D Stable Diffusion?
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.
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Do any other software devs feel left behind by AI? I feel like I'm working on yesterday's tech
Ever heard of Stable Dreamfusion ? Open source text to 3D mesh model
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Text-to-image-to-3D on 16GB GPU after stable-dreamfusion repo update
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
- I recreated Beat Saber in Unity only following Chat GPT. The code, the VFX and even the 3D models are made by an AI. Full video in the first comment.
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ControlNet v1.1 has been released
There is an (independent?) implementation here, released last week to 0.1, but it already has a 100 issues.
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Would it be possible for SD to make 3D deisgns that I can later 3D print?
But there's stable-dreamfusion, still not good but you could try it.
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Game prototype using AI assisted graphics
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
point-e
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Show HN: Ultra-Realistic Generative Fill with AI and 3D
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).
- Text to 3D model
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EchoSculpt 3D - Designed Instrument by ChatGPT4
the mesh was generated with a prompt generated from GPT using an online implementation of Point-E at https://magus.gg/imagine
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Best 23 Graphic AI Tools (2023)
Point-E
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2D graphic image to 3D point cloud
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
- Are there any programs that AI-generate 3D character models?
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Is there any way to create enough consistency in a model to NeRF a grouping of pictures into a 3D Object?
NP this one is way faster I don’t think it uses nerfs https://github.com/openai/point-e
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Imagine if I future version of MJ could make three dimensional environments in Unreal Engine
2023 should see some interesting developments here. OpenAI already released the beginning of their 3D Dall-E called Point-E.
- Is it a good time to start learning 3D in the face of the development of AI Art? I feel a bit demotivated and anxious about the future.
- From now on, do I have to say that my arts are not generated by IA?
What are some alternatives?
instant-ngp - Instant neural graphics primitives: lightning fast NeRF and more
stable-diffusion-webui-depthmap-script - High Resolution Depth Maps for Stable Diffusion WebUI
dreamgaussian - Generative Gaussian Splatting for Efficient 3D Content Creation
magic3d-pytorch - Implementation of Magic3D, Text to 3D content synthesis, in Pytorch
zero123plus - Code repository for Zero123++: a Single Image to Consistent Multi-view Diffusion Base Model.
fill - Generative fill in 3D.
ComfyUI_Noise - 6 nodes for ComfyUI that allows for more control and flexibility over noise to do e.g. variations or "un-sampling"
smoothvoxels
Developer-Style-Guides - Style guides from Google, Facebook, Airbnb, Khan Academy and other tech organizations. Covers JavaScript, Swift, Java, Kotlin, and other popular languages. Made for developers by https://hotpot.ai.
GET3D
echosculpt3