A collection of resources and papers on Diffusion Models.
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Updated
Dec 17, 2023 - HTML
A collection of resources and papers on Diffusion Models.
[ICML 2023] On Investigating the Conservative Property of Score-Based Generative Models
Code for my Bachelor thesis on Semantic Image Synthesis with Score-Based Generative Models
[NeurIPS 2023] Training Energy-Based Normalizing Flow with Score-Matching Objectives
This repository contains my final submission for the COMP3547 Deep Learning module assignment at Durham University in the academic year 2022/2023. The project focuses on diffusion-based models and their application in synthesising new, unique images, which could plausibly come from a training data set. Final grade received was 71/100.
Repository for inference method for stochastic processes through geometric path augmentation
[ICLR 2022] Toy Experiments for Denoising Likelihood Score Matching for Conditional Score-based Data Generation
A collection of interesting papers on Diffusion Models
R package for score matching by automatic differentiation
collection of the score estimators I use
Quickest Change Detection for Unnormalized Statistical Models
Repository for Deterministic Particle Flow Control framework
A Python 3 package for identifying distribution shifts (a.k.a feature-shifts) between datasets. Official implementation of the paper: "iSCAN: Identifying Causal Mechanism Shifts among Nonlinear Additive Noise Models".
This repository implements time series diffusion in the frequency domain.
[ICLR 2022] Denoising Likelihood Score Matching for Conditional Score-based Data Generation
Score-based Hypothesis Testing for Unnormalized Models
Deterministic particle dynamics for simulating Fokker-Planck probability flows
Minimal unofficial implementation of Consistency Trajectory models on a 1D toy task.
Generalized Score Matching
Noise-conditional score networks for music composition by annealed Langevin dynamics
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