deep-unfolding

(TPAMI 2025) Invertible Diffusion Models for Compressed Sensing [PyTorch]

(TPAMI 2024) Practical Compact Deep Compressed Sensing [PyTorch]

Iterative Algorithm Induced Deep-Unfolding Neural Networks: Precoding Design for Multiuser MIMO Systems

(IJCV 2024) Self-Supervised Scalable Deep Compressed Sensing [PyTorch]

[NeurIPS2024 Spotlight] Real-world Image Dehazing with Coherence-based Pseudo Labeling and Cooperative Unfolding Network

[ECCV'24 - Best Paper Award Candidate & Oral] Latent Diffusion Prior Enhanced Deep Unfolding for Snapshot Spectral Compressive Imaging.

Joint Deep Reinforcement Learning and Unfolding: Beam Selection and Precoding for mmWave Multiuser MIMO With Lens Arrays

(TIP 2022) Content-Aware Scalable Deep Compressed Sensing [PyTorch]

[CVPR2025] Using Powerful Prior Knowledge of Diffusion Model in Deep Unfolding Networks for Image Compressive Sensing

(Nature Communications Engineering 2024) Compressive Confocal Microscopy Imaging at the Single-Photon Level with Ultra-Low Sampling Ratios [PyTorch]

Code for "ISDNN: A Deep Neural Network for Channel Estimation in Massive MIMO systems," Hanoi University of Industry Journal of Science and Technology, vol. 60, no. 11, pp. 48-54, Nov. 2024.

A recursive framework to enhance the efficiency of deep unfolding networks.

Deep Unfolded Simulated Bifurcation for Massive MIMO Signal Detection

Source code for the results and simulations described in the paper "Rapid and Power-Aware Learned Optimization for Modular Receive Beamforming".

Deeply Learned Robust Matrix Completion for Large-scale Low-rank Data Recovery

Nonlocal Retinex-Based Variational Model and its Deep Unfolding Twin for Low-Light Image Enhancement (IJCV 2025)

Physics-driven deep unfolding for phase-preserving bitemporal SAR reconstruction under discontinuous aperture sampling.

Autoencoder for MIMO signal detection: NN constellation shaping + deep-unfolded PDA (trainable ASB scaling) / MIMO信号検出のための自己符号化器：NN変調器（信号点配置最適化）＋深層展開PDA（ASB係数学習）

Multimodal Image Super Resolution using (Interpretable) Deep Neural Networks

An independent PyTorch reproduction of SAP-ISTA-Net (Li et al., IEEE Sensors Journal, 2025), a deep-unfolding network for multichannel radar forward-looking superresolution imaging — extended with a random sparse-subarray selection scheme and full statistical robustness testing.