Highlights
- Pro
Diffusion
Speed up Stable Diffusion with this one simple trick!
This project aim to reproduce Sora (Open AI T2V model), we wish the open source community contribute to this project.
Official Implementation of "D4Explainer: In-Distribution GNN Explanations via Discrete Denoising Diffusion"
[NeurIPS'23] Source code of "Data-Centric Learning from Unlabeled Graphs with Diffusion Model": A data-centric transfer learning framework with diffusion model on graphs.
Graph Diffusion Convolution, as proposed in "Diffusion Improves Graph Learning" (NeurIPS 2019)
A collection of resources and papers on Diffusion Models
A latent text-to-image diffusion model
High-Resolution Image Synthesis with Latent Diffusion Models
Denoising Diffusion Probabilistic Models
[ICCV 2023 Oral] Official Implementation of "Denoising Diffusion Autoencoders are Unified Self-supervised Learners"
The official implementation for ICLR23 spotlight paper "DIFFormer: Scalable (Graph) Transformers Induced by Energy Constrained Diffusion"
Information-Theoretic Diffusion: A brand new diffusion model / density estimator based on information theory.
[ICML 2024 Best Paper] Discrete Diffusion Modeling by Estimating the Ratios of the Data Distribution (https://arxiv.org/abs/2310.16834)