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CHEN_QUN's Projects

debiasing_lasso_demo icon debiasing_lasso_demo

demo for "A statistical mechanics approach to de-biasing and uncertainty estimation in LASSO for random measurements"

decun icon decun

DECUN -- Deep Convergent Unrolling for Non-blind deblurring

deep-hs-prior icon deep-hs-prior

Single Hyperspectral Image Denoising, Inpainting, Super-Resolution

deepmp.jl icon deepmp.jl

Learning deep neural networks using Belief Propagation

deeps3pr icon deeps3pr

Code associated with the paper "Deep S3PR: Simultaneous Source Separation and Phase Retrieval Using Deep Generative Models"

deepsplines icon deepsplines

Learning Activation Functions in Deep (Spline) Neural Networks

denoiser icon denoiser

Real Time Speech Enhancement in the Waveform Domain (Interspeech 2020)

desci icon desci

Rank Minimization for Snapshot Compressive Imaging (TPAMI'19)

detector-guidance icon detector-guidance

The official implementation for Detector Guidance for Multi-Object Text-to-Image Generation (DG)

dgmn2 icon dgmn2

[TPAMI 2022 & CVPR 2020 Oral] Dynamic Graph Message Passing Networks

dgps_pep icon dgps_pep

Alpha-divergences Minimization for Deep Gaussian Process Models

diffpack icon diffpack

Implementation of DiffPack: A Torsional Diffusion Model for Autoregressive Protein Side-Chain Packing

diffpir icon diffpir

"Denoising Diffusion Models for Plug-and-Play Image Restoration", Yuanzhi Zhu, Kai Zhang, Jingyun Liang, Jiezhang Cao, Bihan Wen, Radu Timofte, Luc Van Gool.

diffsamp icon diffsamp

Repository for "Sampling with flows, diffusion and autoregressive neural networks: A spin-glass perspective"

diffusers icon diffusers

🤗 Diffusers: State-of-the-art diffusion models for image and audio generation in PyTorch

diffusion_channel_est icon diffusion_channel_est

Source code of the Paper "Diffusion-Based Generative Prior for Low-Complexity MIMO Channel Estimation"

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