Clip-Forge VS text2voxels

Compare Clip-Forge vs text2voxels and see what are their differences.

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Clip-Forge text2voxels
6 3
360 15
0.0% -
0.0 3.2
over 1 year ago over 1 year ago
Python Jupyter Notebook
- Eclipse Public License 2.0
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.

Clip-Forge

Posts with mentions or reviews of Clip-Forge. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-09-29.

text2voxels

Posts with mentions or reviews of text2voxels. 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 Clip-Forge and text2voxels you can also consider the following projects:

text2mesh - 3D mesh stylization driven by a text input in PyTorch

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

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

eg3d

ml-gmpi - Official PyTorch implementation of GMPI (ECCV 2022, Oral Presentation)

NeROIC

jukebox - Code for the paper "Jukebox: A Generative Model for Music"