text2mesh VS ml-gmpi

Compare text2mesh vs ml-gmpi and see what are their differences.

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text2mesh ml-gmpi
14 4
877 325
2.2% -0.3%
0.0 0.0
5 months ago 3 months ago
Jupyter Notebook Python
MIT License GNU General Public License v3.0 or later
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.

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.

ml-gmpi

Posts with mentions or reviews of ml-gmpi. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-09-07.

What are some alternatives?

When comparing text2mesh and ml-gmpi you can also consider the following projects:

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

Clip-Forge

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

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

NeROIC

make-a-video-pytorch - Implementation of Make-A-Video, new SOTA text to video generator from Meta AI, in Pytorch

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

text2voxels - Generate 3D voxels from text with AI

pix2pixHD - Synthesizing and manipulating 2048x1024 images with conditional GANs

eg3d

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

Text2LIVE - Official Pytorch Implementation for "Text2LIVE: Text-Driven Layered Image and Video Editing" (ECCV 2022 Oral)