Iterative reconstruction from limited angle, limited view projections for cryo-electron tomography. - Sally L. Wood; Ernesto Fontenla; Christopher A. Metzler; Wah Chiu; Richard G. Baraniuk (ACSSC, 2015)

Dynamic model generation for application of compressed sensing to cryo-electron tomography reconstruction. - Sally L. Wood; Ernesto Fontenla; Christopher A. Metzler; Wah Chiu; Richard G. Baraniuk (SP/SPE, 2015)

BM3D-AMP: A new image recovery algorithm based on BM3D denoising. - Christopher A. Metzler; Arian Maleki; Richard G. Baraniuk (ICIP, 2015)

BM3D-PRGAMP: Compressive phase retrieval based on BM3D denoising. - Christopher A. Metzler; Arian Maleki; Richard G. Baraniuk (ICME Workshops, 2016)

From Denoising to Compressed Sensing. - Christopher A. Metzler; Arian Maleki; Richard G. Baraniuk (IEEE Trans. Inf. Theory, 2016)

Coherent inverse scattering via transmission matrices: Efficient phase retrieval algorithms and a public dataset. - Christopher A. Metzler; Manoj Kumar Sharma; Sudarshan Nagesh; Richard G. Baraniuk; Oliver Cossairt; Ashok Veeraraghavan (ICCP, 2017)

Learned D-AMP: Principled Neural Network based Compressive Image Recovery. - Christopher A. Metzler; Ali Mousavi 003; Richard G. Baraniuk (NIPS, 2017)

Learned D-AMP: A Principled CNN-based Compressive Image Recovery Algorithm. - Christopher A. Metzler; Ali Mousavi 003; Richard G. Baraniuk (CoRR, 2017)

An Expectation-Maximization Approach to Tuning Generalized Vector Approximate Message Passing. - Christopher A. Metzler; Philip Schniter; Richard G. Baraniuk (LVA/ICA, 2018)

prDeep: Robust Phase Retrieval with a Flexible Deep Network. - Christopher A. Metzler; Philip Schniter; Ashok Veeraraghavan; Richard G. Baraniuk (ICML, 2018)

prDeep: Robust Phase Retrieval with Flexible Deep Neural Networks. - Christopher A. Metzler; Philip Schniter; Ashok Veeraraghavan; Richard G. Baraniuk (CoRR, 2018)

Unsupervised Learning with Stein's Unbiased Risk Estimator. - Christopher A. Metzler; Ali Mousavi 003; Reinhard Heckel; Richard G. Baraniuk (CoRR, 2018)

Keyhole Imaging: Non-Line-of-Sight Imaging and Tracking of Moving Objects Along a Single Optical Path at Long Standoff Distances. - Christopher A. Metzler; David B. Lindell; Gordon Wetzstein (CoRR, 2019)

Deep Optics: Learning Cameras and Optical Computing Systems. - Gordon Wetzstein; Hayato Ikoma; Christopher A. Metzler; Yifan Peng 001 (ACSSC, 2020)

Deep Optics for Single-Shot High-Dynamic-Range Imaging. - Christopher A. Metzler; Hayato Ikoma; Yifan Peng 001; Gordon Wetzstein (CVPR, 2020)

Disambiguating Monocular Depth Estimation with a Single Transient. - Mark Nishimura; David B. Lindell; Christopher A. Metzler; Gordon Wetzstein (ECCV (21), 2020)

SUREMap: Predicting Uncertainty in CNN-based Image Reconstruction Using Stein's Unbiased Risk Estimate. - Ruangrawee Kitichotkul; Christopher A. Metzler; Frank Ong; Gordon Wetzstein (CoRR, 2020)

Deep Learning Techniques for Inverse Problems in Imaging. - Gregory Ongie; Ajil Jalal; Christopher A. Metzler; Richard G. Baraniuk; Alexandros G. Dimakis; Rebecca Willett (IEEE J. Sel. Areas Inf. Theory, 2020)

Inverse Scattering via Transmission Matrices: Broadband Illumination and Fast Phase Retrieval Algorithms. - Manoj Kumar Sharma; Christopher A. Metzler; Sudarshan Nagesh; Richard G. Baraniuk; Oliver Cossairt; Ashok Veeraraghavan (IEEE Trans. Computational Imaging, 2020)

Suremap: Predicting Uncertainty in Cnn-Based Image Reconstructions Using Stein's Unbiased Risk Estimate. - Ruangrawee Kitichotkul; Christopher A. Metzler; Frank Ong; Gordon Wetzstein (ICASSP, 2021)

Deep S3PR: Simultaneous Source Separation and Phase Retrieval Using Deep Generative Models. - Christopher A. Metzler; Gordon Wetzstein (ICASSP, 2021)

D-VDAMP: Denoising-Based Approximate Message Passing for Compressive MRI. - Christopher A. Metzler; Gordon Wetzstein (ICASSP, 2021)

Depth from Defocus with Learned Optics for Imaging and Occlusion-aware Depth Estimation. - Hayato Ikoma; Cindy M. Nguyen; Christopher A. Metzler; Yifan Peng 001; Gordon Wetzstein (ICCP, 2021)

Keyhole Imaging: Non-Line-of-Sight Imaging and Tracking of Moving Objects Along a Single Optical Path. - Christopher A. Metzler; David B. Lindell; Gordon Wetzstein (IEEE Trans. Computational Imaging, 2021)

Imaging Through Turbulence with GANs. - Brandon Y. Feng; Mingyang Xie; Christopher A. Metzler (IEEECONF, 2022)

Transformers for Robust Radar Waveform Classification. - Matthew R. Ziemann; Christopher A. Metzler (IEEECONF, 2022)

Expectation Consistent Plug-and-Play for MRI. - Saurav K. Shastri; Rizwan Ahmad; Christopher A. Metzler; Philip Schniter (ICASSP, 2022)

Denoising Generalized Expectation-Consistent Approximation for MRI Image Recovery. - Saurav K. Shastri; Rizwan Ahmad; Christopher A. Metzler; Philip Schniter (CoRR, 2022)

MetaDIP: Accelerating Deep Image Prior with Meta Learning. - Kevin Zhang 003; Mingyang Xie; Maharshi Gor; Yi-Ting Chen; Yvonne Zhou; Christopher A. Metzler (CoRR, 2022)

Weakly-Supervised Semantic Segmentation of Ships Using Thermal Imagery. - Rushil Joshi; Ethan Adams; Matthew R. Ziemann; Christopher A. Metzler (CoRR, 2022)

TurbuGAN: An Adversarial Learning Approach to Spatially-Varying Multiframe Blind Deconvolution With Applications to Imaging Through Turbulence. - Brandon Y. Feng; Mingyang Xie; Christopher A. Metzler (IEEE J. Sel. Areas Inf. Theory, 2022)

Denoising Generalized Expectation-Consistent Approximation for MR Image Recovery. - Saurav K. Shastri; Rizwan Ahmad; Christopher A. Metzler; Philip Schniter (IEEE J. Sel. Areas Inf. Theory, 2022)

Adaptive LPD Radar Waveform Design with Generative Adversarial Neural Networks. - Matthew R. Ziemann; Christopher A. Metzler (ACSSC, 2023)

TiDy-PSFs: Computational Imaging with Time-Averaged Dynamic Point-Spread-Functions. - Sachin Shah; Sakshum Kulshrestha; Christopher A. Metzler (ICCV, 2023)

SUD2: Supervision by Denoising Diffusion Models for Image Reconstruction. - Matthew A. Chan 002; Sean I. Young; Christopher A. Metzler (CoRR, 2023)

Snapshot High Dynamic Range Imaging with a Polarization Camera. - Mingyang Xie; Matthew A. Chan 002; Christopher A. Metzler (CoRR, 2023)

ConVRT: Consistent Video Restoration Through Turbulence with Test-time Optimization of Neural Video Representations. - Haoming Cai; Jingxi Chen; Brandon Y. Feng; Weiyun Jiang; Mingyang Xie; Kevin Zhang 003; Ashok Veeraraghavan; Christopher A. Metzler (CoRR, 2023)

VEMIC: View-aware Entropy model for Multi-view Image Compression. - Susmija Jabbireddy; Davit Soselia; Max Ehrlich; Christopher A. Metzler; Amitabh Varshney (BMVC, 2024)

Event3DGS: Event-Based 3D Gaussian Splatting for High-Speed Robot Egomotion. - Tianyi Xiong; Jiayi Wu; Botao He; Cornelia Fermüller; Yiannis Aloimonos; Heng Huang; Christopher A. Metzler (CoRL, 2024)

Seeing the World through Your Eyes. - Hadi Alzayer; Kevin Zhang 003; Brandon Y. Feng; Christopher A. Metzler; Jia-Bin Huang 001 (CVPR, 2024)

CodedEvents: Optimal Point-Spread-Function Engineering for 3D-Tracking with Event Cameras. - Sachin Shah; Matthew A. Chan 002; Haoming Cai; Jingxi Chen; Sakshum Kulshrestha; Chahat Deep Singh; Yiannis Aloimonos; Christopher A. Metzler (CVPR, 2024)

WaveMo: Learning Wavefront Modulations to See Through Scattering. - Mingyang Xie; Haiyun Guo; Brandon Y. Feng; Lingbo Jin; Ashok Veeraraghavan; Christopher A. Metzler (CVPR, 2024)

Flash-Splat: 3D Reflection Removal with Flash Cues and Gaussian Splats. - Mingyang Xie; Haoming Cai; Sachin Shah; Yiran Xu; Brandon Y. Feng; Jiabin Huang 001; Christopher A. Metzler (ECCV (82), 2024)

Bagged Deep Image Prior for Recovering Images in the Presence of Speckle Noise. - Xi Chen; Zhewen Hou; Christopher A. Metzler; Arian Maleki; Shirin Jalali (ICML, 2024)

Temporally Consistent Atmospheric Turbulence Mitigation with Neural Representations. - Haoming Cai; Jingxi Chen; Brandon Y. Feng; Weiyun Jiang; Mingyang Xie; Kevin Zhang 003; Cornelia Fermüller; Yiannis Aloimonos; Ashok Veeraraghavan; Christopher A. Metzler (NeurIPS, 2024)

AONeuS: A Neural Rendering Framework for Acoustic-Optical Sensor Fusion. - Mohamad Qadri; Kevin Zhang 003; Akshay Hinduja; Michael Kaess; Adithya Pediredla; Christopher A. Metzler (SIGGRAPH (Conference Paper Track), 2024)

Hyper-Diffusion: Estimating Epistemic and Aleatoric Uncertainty with a Single Model. - Matthew A. Chan 002; Maria J. Molina; Christopher A. Metzler (CoRR, 2024)

Adaptive LPD Radar Waveform Design with Generative Deep Learning. - Matthew R. Ziemann; Christopher A. Metzler (CoRR, 2024)

TimeRewind: Rewinding Time with Image-and-Events Video Diffusion. - Jingxi Chen; Brandon Y. Feng; Haoming Cai; Mingyang Xie; Christopher A. Metzler; Cornelia Fermüller; Yiannis Aloimonos (CoRR, 2024)

CodedVO: Coded Visual Odometry. - Sachin Shah; Naitri Rajyaguru; Chahat Deep Singh; Christopher A. Metzler; Yiannis Aloimonos (CoRR, 2024)

Minimal perception: enabling autonomy in resource-constrained robots. - Chahat Deep Singh; Botao He; Cornelia Fermüller; Christopher A. Metzler; Yiannis Aloimonos (Frontiers Robotics AI, 2024)

A Scalable Training Strategy for Blind Multi-Distribution Noise Removal. - Kevin Zhang 003; Sakshum Kulshrestha; Christopher A. Metzler (IEEE Trans. Image Process., 2024)

NeuWS: Neural Wavefront Shaping for guidestar-free imaging through static and dynamic scattering media. - Brandon Y. Feng; Haiyun Guo; Mingyang Xie; Vivek Boominathan; Manoj Sharma; Ashok Veeraraghavan; Christopher A. Metzler (Zenodo, 2024)

Flash-Split: 2D Reflection Removal with Flash Cues and Latent Diffusion Separation. - Tianfu Wang 007; Mingyang Xie; Haoming Cai; Sachin Shah; Christopher A. Metzler (CVPR, 2025)

Repurposing Pre-trained Video Diffusion Models for Event-based Video Interpolation. - Jingxi Chen; Brandon Y. Feng; Haoming Cai; Tianfu Wang 007; Levi Burner; Dehao Yuan; Cornelia Fermüller; Christopher A. Metzler; Yiannis Aloimonos (CVPR, 2025)

Monte-Carlo Based Efficient Image Reconstruction in Coherent Imaging With Speckle Noise. - Xi Chen; Christopher A. Metzler; Arian Maleki; Shirin Jalali (ISBI, 2025)

Acoustic Neural 3D Reconstruction Under Pose Drift. - Tianxiang Lin; Mohamad Qadri; Kevin Zhang 003; Adithya Pediredla; Christopher A. Metzler; Michael Kaess (CoRR, 2025)

Parametric Shadow Control for Portrait Generationin Text-to-Image Diffusion Models. - Haoming Cai; Tsung-Wei Huang; Shiv Gehlot; Brandon Y. Feng; Sachin Shah; Guan-Ming Su; Christopher A. Metzler (CoRR, 2025)

Multilook Coherent Imaging: Theoretical Guarantees and Algorithms. - Xi Chen; Soham Jana; Christopher A. Metzler; Arian Maleki; Shirin Jalali (CoRR, 2025)

Reconstructing Tornadoes in 3D with Gaussian Splatting. - Adam Yang 003; Nadula Kadawedduwa; Tianfu Wang 007; Maria J. Molina; Christopher A. Metzler (CoRR, 2025)

Inverse Synthetic Aperture Fourier Ptychography. - Matthew A. Chan 002; Casey J. Pellizzari; Christopher A. Metzler (CoRR, 2025)

Single-Step Latent Diffusion for Underwater Image Restoration. - Jiayi Wu; Tianfu Wang 007; Md Abu Bakr Siddique; Md Jahidul Islam; Cornelia Fermüller; Yiannis Aloimonos; Christopher A. Metzler (CoRR, 2025)

Z-Splat: Z-Axis Gaussian Splatting for Camera-Sonar Fusion. - Ziyuan Qu; Omkar Vengurlekar; Mohamad Qadri; Kevin Zhang 003; Michael Kaess; Christopher A. Metzler; Suren Jayasuriya; Adithya Pediredla (IEEE Trans. Pattern Anal. Mach. Intell., 2025)

Supervision by Denoising. - Sean I. Young; Adrian V. Dalca; Enzo Ferrante; Polina Golland; Christopher A. Metzler; Bruce Fischl; Juan Eugenio Iglesias (IEEE Trans. Pattern Anal. Mach. Intell., 2025)