GET3D VS text2mesh

Compare GET3D vs text2mesh and see what are their differences.

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GET3D text2mesh
17 14
4,124 908
0.6% 0.6%
4.2 2.1
7 months ago 10 months ago
Python Jupyter Notebook
GNU General Public License v3.0 or later MIT License
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

GET3D

Posts with mentions or reviews of GET3D. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-07-22.

text2mesh

Posts with mentions or reviews of text2mesh. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-12-27.

What are some alternatives?

When comparing GET3D and text2mesh you can also consider the following projects:

stable-dreamfusion - Text-to-3D & Image-to-3D & Mesh Exportation with NeRF + Diffusion.

SAFA - Official Pytorch Implementation of 3DV2021 paper: SAFA: Structure Aware Face Animation.

instant-ngp - Instant neural graphics primitives: lightning fast NeRF and more

Clip-Forge

hashcat - World's fastest and most advanced password recovery utility

CenterSnap - Pytorch code for ICRA'22 paper: "Single-Shot Multi-Object 3D Shape Reconstruction and Categorical 6D Pose and Size Estimation"

magic3d-pytorch - Implementation of Magic3D, Text to 3D content synthesis, in Pytorch

pytorch-CycleGAN-and-pix2pix - Image-to-Image Translation in PyTorch

stable-diffusion-webui - Stable Diffusion web UI

NeROIC

inline_tweak - Tweak a Rust value directly in the source code