GroupViT
Official PyTorch implementation of GroupViT: Semantic Segmentation Emerges from Text Supervision, CVPR 2022. (by NVlabs)
cycle-diffusion
[ICCV 2023] A latent space for stochastic diffusion models (by ChenWu98)
GroupViT | cycle-diffusion | |
---|---|---|
1 | 8 | |
735 | 587 | |
0.0% | - | |
0.0 | 6.1 | |
over 2 years ago | about 1 year ago | |
Python | Python | |
GNU General Public License v3.0 or later | 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.
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.
GroupViT
Posts with mentions or reviews of GroupViT.
We have used some of these posts to build our list of alternatives
and similar projects.
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[R][P] GroupViT: Semantic Segmentation Emerges from Text Supervision + Hugging Face Gradio Web Demo
github: https://github.com/NVlabs/GroupViT
cycle-diffusion
Posts with mentions or reviews of cycle-diffusion.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2023-04-13.
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[D] CycleGAN Diffusion equivalent
CycleDiffusion
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[R] Unifying Diffusion Models' Latent Space, with Applications to CycleDiffusion and Guidance + Diffusers and Gradio Demo
github: https://github.com/chenwu98/cycle-diffusion
- Artists say AI image generators are copying their style to make thousands of new images — and it's completely out of their control
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How long until language model prompting?
Oh... Right after I wrote that reply, I found this. https://github.com/ChenWu98/cycle-diffusion Probably even closer to what you wanted. :)
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Google has opensourced Prompt-to-Prompt
CycleDiffusion which apparently somehow infers the random seed for any arbitrary image
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CycleDiffusion: Text-to-Image Diffusion Models Are Image-to-Image Editors via Inferring "Random Seed"
can't say I've seen a project with 468 dependencies before