Robust UAV Path Planning Using RSS in GPS-Denied and Dense Environments Based on Deep Reinforcement Learning

Official code for Free Hunch: Denoiser Covariance Estimation for Diffusion Models Without Extra Costs

Official implementation of Learning Diffusion Priors from Observations by Expectation Maximization

Official repo of On Exact Inversion of DPM-Solvers by Hong et al, in CVPR 2024.

Code for the paper: Deep Compressed Sensing for Terahertz Ultra-Massive MIMO Channel Estimation

Conjugate Integrators for Iterative Refinement Models

Pytorch implementation for the paper Tweedie Moment Projected Diffusions for Inverse Problems.

ICC 2025

Implementation of Denoising Diffusion Probabilistic Model in Pytorch

[NeurIPS 2024] Principled Probabilistic Imaging using Diffusion Models as Plug-and-Play Priors

dmps code

Implementation of "Analyzing and Improving the Training Dynamics of Diffusion Models"

[CVPR 2025 Oral] Improving Diffusion Inverse Problem Solving with Decoupled Noise Annealing

Elucidating the Design Space of Diffusion-Based Generative Models (EDM)

Official repo for consistency models.

The Pytorch Tutorial of Score-based and Diffusion Model

PyTorch implementation of Variational Diffusion Models.

Deep Learning for Massive MIMO with 1-Bit ADCs

A minimalist implementation of score-based diffusion model

Pytorch codes for "An Adaptive and Robust Deep Learning Framework for THz Ultra-Massive MIMO Channel Estimation" in IEEE Journal of Selected Topics in Signal Processing (JSTSP), Jul. 2023.

Implementation of "Schedule On the Fly: Diffusion Time Prediction for Faster and Better Image Generation" [CVPR 2025]

Massive MIMO detector based on an annealed version of the Unadjusted Langevin Algorithm (ULA)

Implementation of the Paper "Channel Estimation for Quantized Systems based on Conditionally Gaussian Latent Models".