PIDM VS Self-Attention-Guidance

Compare PIDM vs Self-Attention-Guidance and see what are their differences.

Self-Attention-Guidance

Official implementation of the paper "Improving Sample Quality of Diffusion Models Using Self-Attention Guidance" (ICCV 2023) (by KU-CVLAB)
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PIDM Self-Attention-Guidance
1 2
457 193
- -
6.2 5.7
2 months ago 7 months ago
Jupyter Notebook Jupyter Notebook
MIT License 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.

PIDM

Posts with mentions or reviews of PIDM. We have used some of these posts to build our list of alternatives and similar projects.

Self-Attention-Guidance

Posts with mentions or reviews of Self-Attention-Guidance. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-02-19.

What are some alternatives?

When comparing PIDM and Self-Attention-Guidance you can also consider the following projects:

DiffusionFastForward - DiffusionFastForward: a free course and experimental framework for diffusion-based generative models

score_sde_pytorch - PyTorch implementation for Score-Based Generative Modeling through Stochastic Differential Equations (ICLR 2021, Oral)

Self-Attention-Guidance - The implementation of the paper "Improving Sample Quality of Diffusion Models Using Self-Attention Guidance" (ICCV`23)