BBDM: Image-to-image Translation with Brownian Bridge Diffusion Models

Likelihood Training of Schrödinger Bridge using FBSDEs Theory, ICLR 2022

Official pytorch repository for “Guidance with Spherical Gaussian Constraint for Conditional Diffusion”

Resource collection for the paper "Integration of Physics-Based and Data-Driven Models for Hyperspectral Image Unmixing: A summary of current methods" (SPM 2023).

Collections for hyperspectral image clustering

Introduction and related code for our NeurIPS22 paper ‘ Align then Fusion: Generalized Large-scale Multi-view Clustering with Anchor Matching Correspondences’

collections for advanced, novel multi-view clustering methods(papers , codes and datasets)

A collection of incomplete multi-view clustering paper

Implementation of "Image Restoration Through Generalized Ornstein-Uhlenbeck Bridge", accepted by ICML 2024.

Official PyTorch Implementation of "Scalable Diffusion Models with Transformers"

Denoising Diffusion Implicit Models

Danfeng Hong, JIngliang Hu, Jing Yao, Jocelyn Chanussot, Xiao Xiang Zhu. Multimodal Remote Sensing Benchmark Datasets for Land Cover Classification with A Shared and Specific Feature Learning Model…

Open source dataset; multimodal fusion；remote sensing；optical images; SAR images；deep learning

This may be the simplest implement of DDPM. You can directly run Main.py to train the UNet on CIFAR-10 dataset and see the amazing process of denoising.

Amphion (/æmˈfaɪən/) is a toolkit for Audio, Music, and Speech Generation. Its purpose is to support reproducible research and help junior researchers and engineers get started in the field of audi…

Pytorch implementation of Diffusion Models (https://arxiv.org/pdf/2006.11239.pdf)

PyTorch DDPM implementation

A collection of resources and papers on Diffusion Models

Code for J. Wang, J. Li, Y. Shi, J. Lai and X. Tan, "AM3Net: Adaptive Mutual-learning-based Multimodal Data Fusion Network," in IEEE TCSVT, 2022. We conducted the experiments on the hyperspectral a…

Code accompanying the NeurIPS 2019 paper "GOT: An Optimal Transport framework for Graph comparison"

Danfeng Hong, Lianru Gao, Jing Yao, Bing Zhang, Antonio Plaza, Jocelyn Chanussot. Graph Convolutional Networks for Hyperspectral Image Classification, IEEE Trans. Geosci. Remote Sens., 2021, 59(7):…

code for paper “Towards Effective Hyperspectral Image Classification Using Dual-level Deep Spatial Manifold Representation” （TGRS2021）

This is a TensorFlow implementation of the Adversarially Regularized Graph Autoencoder(ARGA) model as described in our paper: Pan, S., Hu, R., Long, G., Jiang, J., Yao, L., & Zhang, C. (2018). Adve…

Diffusion-based singing voice pitch correction

official implementation for the paper "Simplifying Graph Convolutional Networks"