AvatarCLIP
stable-dreamfusion
| AvatarCLIP | stable-dreamfusion | |
|---|---|---|
| 4 | 41 | |
| 1,040 | 7,845 | |
| - | - | |
| 0.0 | 7.2 | |
| about 1 year ago | 5 months ago | |
| Python | Python | |
| GNU General Public License v3.0 or later | Apache License 2.0 |
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AvatarCLIP
- Half way in my AA college career and just started my electives. Need help
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[R] Text to 3D characters + expression editing + pose generation
Based on similar works CLIPActor and AvatarCLIP the codebase implements similar pipeline using mesh and differentiable rasterization to provide a spedeup allowing for ~10 min character generation on a weak Google Colab GPU
- "AvatarCLIP: Zero-Shot Text-Driven Generation and Animation of 3D Avatars", Hong et al 2022 (crosspost of another user's post)
- "AvatarCLIP: Zero-Shot Text-Driven Generation and Animation of 3D Avatars", Hong et al 2022
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
What are some alternatives?
CIPS-3D - 3D-aware GANs based on NeRF (arXiv).
instant-ngp - Instant neural graphics primitives: lightning fast NeRF and more
multinerf - A Code Release for Mip-NeRF 360, Ref-NeRF, and RawNeRF
dreamgaussian - Generative Gaussian Splatting for Efficient 3D Content Creation
giraffe - This repository contains the code for the CVPR 2021 paper "GIRAFFE: Representing Scenes as Compositional Generative Neural Feature Fields"
zero123plus - Code repository for Zero123++: a Single Image to Consistent Multi-view Diffusion Base Model.
Make-It-3D - [ICCV 2023] Make-It-3D: High-Fidelity 3D Creation from A Single Image with Diffusion Prior
ComfyUI_Noise - 6 nodes for ComfyUI that allows for more control and flexibility over noise to do e.g. variations or "un-sampling"
MotionDiffuse - MotionDiffuse: Text-Driven Human Motion Generation with Diffusion Model
stable-diffusion-webui-depthmap-script - High Resolution Depth Maps for Stable Diffusion WebUI
GET3D
stable-diffusion-webui - Stable Diffusion web UI