Clip-Forge VS ml-gmpi

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

ml-gmpi

Official PyTorch implementation of GMPI (ECCV 2022, Oral Presentation) (by apple)
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Clip-Forge ml-gmpi
6 4
350 324
1.7% -0.6%
0.0 0.0
about 1 year ago 3 months ago
Python Python
- 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.

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.

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 Clip-Forge and ml-gmpi you can also consider the following projects:

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

eg3d

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

text2voxels - Generate 3D voxels from text with AI

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

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

DeepFaceLive - Real-time face swap for PC streaming or video calls

NeROIC

rome - Realistic mesh-based avatars. ECCV 2022