[NeurIPS 2024] Factor Graph Diffusion Models for Improved Prompt Alignment, Controllable and Editing of Images via Joint Distribution Modeling
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Updated
Jan 16, 2025 - Python
[NeurIPS 2024] Factor Graph Diffusion Models for Improved Prompt Alignment, Controllable and Editing of Images via Joint Distribution Modeling
Using GANs to Relax the Bottleneck of Curated Labeled Data, ArxXiv paper: https://arxiv.org/pdf/1803.05137.pdf, CVPR 2018.
This script performs an environmental contour analysis on oceanographic time series data focusing on significant wave height and wave peak period.
Python/Seaborn script drawing a bivariate joint distribution (scatter plus marginal histograms), demonstrated on Mariana Trench morphometric data. Reusable scientific-plotting example.
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