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Jason's Blog
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Notes
Mathematical Thinking and Proofs
01-01. What Is Mathematics?
Videos
Introduction to Flow Matching and Diffusion Models
Papers
Adding Conditional Control to Text-to-Image Diffusion Models
An Image is Worth One Word: Personalizing Text-to-Image Generation using Textual Inversion
AnomalyCLIP: Object-agnostic Prompt Learning for Zero-shot Anomaly Detection
Auto-Encoding Variational Bayes
Deep Unsupervised Learning using Nonequilibrium Thermodynamics
DreamBooth: Fine Tuning Text-to-Image Diffusion Models for Subject-Driven Generation
Generalisation in humans and deep neural networks
Generative Adversarial Networks
NICE: Non-linear Independent Components Estimation
Prompt-to-Prompt Image Editing with Cross Attention Control
SDEdit: Guided Image Synthesis and Editing with Stochastic Differential Equations
f-GAN: Training Generative Neural Samplers using Variational Divergence Minimization
GitHub
Notes
Mathematical Thinking and Proofs
Table of contents
01-01. What Is Mathematics?