Christopher Metzler
Associate Professor
Develops computational imaging and sensing systems that combine optics with deep learning, such as imaging through scattering media.
Christopher Metzler's lab at UMD works on computational imaging & photography. 35 papers since 2023, 20 at top venues, mostly CVPR and ECCV. 19 PhD students and 2 master's students. 8 alumni.
At a glance
- papers, 2023–2026
- 9/ year
- at T1 venues
- 57%
- PhD students
- 19
- MS students
- 2
- alumni listed
- 8
Papers by yearfrom the lab homepage, 2023–2026
- 10 papers2026 · T1 5 · collecting
- 6 papers2025 · T1 5
- 11 papers2024 · T1 9
- 8 papers2023 · T1 1
T1 venuesOtherVenues: CVPR, ECCV, ICCV, NeurIPS, RA-L
Research focuspaper titles that use each topic's words
- Computational imaging & photography4 papers
- imaging3 papers
- scattering2 papers
- optics1 paper
- combine0 papers
Paper list
From the lab homepage.
202610 papers
- Journal of the Optical Society of America A4D Wavefront Sensing Using Dynamic Neural Image Sharpening (opens in a new tab)
- WACVGaussian Representations for Video (opens in a new tab)
- TOG (T1)Guidestar-Free Adaptive Optics with Asymmetric Apertures (opens in a new tab)
- ECCV (T1)High-speed Imaging through Turbulence with Event-based Light Fields (opens in a new tab)
- Optics ExpressInverse Synthetic Aperture Fourier Ptychography (opens in a new tab)
- ECCV (T1)Large-Scale Light Field Synthesis from Videos Enables Geometrically Consistent Bokeh Editing (opens in a new tab)
- CVPR (T1)LaVR: Scene Latent Conditioned Generative Video Trajectory Re-Rendering using Large 4D Reconstruction Models (opens in a new tab)
- RA-LPolarDepth: Polarization-Guided Monocular Depth for Visual Odometry (opens in a new tab)
- ICCPShutterEvents: Shutter Modulation for Static-Dynamic Scene Recovery (opens in a new tab)
- ECCV (T1)WaterGen: Decoupling Scene and Medium in Underwater Image Generation (opens in a new tab)
20256 papers
- IROS (T1)Acoustic Neural 3D Reconstruction Under Pose Drift (opens in a new tab)
- IEEE Transactions on Radar SystemsAdaptive LPD Radar Waveform Design with Generative Deep Learning (opens in a new tab)
- CVPR (T1)Flash-Split: 2D Reflection Removal with Flash Cues and Latent Diffusion Separation (opens in a new tab)
- ICCV (T1)Parametric Shadow Control for Portrait Generation in Text-to-Image Diffusion Models (opens in a new tab)
- CVPR (T1)Repurposing Pre-trained Video Diffusion Models for Event-based Video Interpolation (opens in a new tab)
- TPAMI (T1)Single-Step Latent Diffusion for Underwater Image Restoration (opens in a new tab)
202411 papers
- TIP (T1)A Scalable Training Strategy for Blind Multi-Distribution Noise Removal (opens in a new tab)
- SIGGRAPH (T1)AONeuS: A Neural Rendering Framework for Acoustic-Optical Sensor Fusion (opens in a new tab)
- CVPR (T1)CodedEvents: Optimal Point-Spread-Function Engineering for 3D-Tracking with Event Cameras (opens in a new tab)
- RA-LCodedVO: Coded Visual Odometry (opens in a new tab)
- CoRL (T1)Event3DGS: Event-Based 3D Gaussian Splatting for High-Speed Robot Egomotion (opens in a new tab)
- ECCV (T1)Flash-Splat: 3D Reflection Removal with Flash Cues and Gaussian Splats (opens in a new tab)
- IEEE Radar ConferenceHigh-Resolution Range Profile Target Recognition with Neuromorphic ADCs and Spiking Neural Networks (opens in a new tab)
- NeurIPS (T1)Hyper-Diffusion: Estimating Epistemic and Aleatoric Uncertainty with a Single Model (opens in a new tab)
- CVPR (T1)Seeing the World through Your Eyes (opens in a new tab)
- NeurIPS (T1)Temporally Consistent Atmospheric Turbulence Mitigation with Neural Representations (opens in a new tab)
- CVPR (T1)WaveMo: Learning Wavefront Modulations to See Through Scattering (opens in a new tab)
20238 papers
- Asilomar Conference on Signals, Systems, and ComputersAdaptive LPD Radar Waveform Design with Generative Adversarial Neural Networks (opens in a new tab)
- OpticaFPM-INR: Fourier Ptychographic Microscopy Image Stack Reconstruction Using Implicit Neural Representations (opens in a new tab)
- NeurIPS WorkshopMultimodal Neural Surface Reconstruction: Recovering the Geometry and Appearance of 3D Scenes from Events and Grayscale Images (opens in a new tab)
- Computational Optical Sensing and ImagingNeural Wavefront Shaping in the Photon-Starved Regime (opens in a new tab)
- Science AdvancesNeuWS: Neural wavefront shaping for guidestar-free imaging through static and dynamic scattering media (opens in a new tab)
- NeurIPS WorkshopSUD2: Supervision by Denoising Diffusion Models for Image Reconstruction (opens in a new tab)
- ICCV (T1)TiDy-PSFs: Computational Imaging with Time-Averaged Dynamic Point-Spread-Functions (opens in a new tab)
- Workshop on Naval Applications of Machine LearningWeakly-Supervised Semantic Segmentation of Ships Using Thermal Imagery (opens in a new tab)
Where alumni went8 listed, 0% to industry
Industry 0Academia 3
Also to
- MIT
- Carnegie Mellon University
Apply to UMDFall 2027
Not announced yet
UMD Computer Science PhD
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- Single round
- Opens
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- GRE
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- English
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- Fee
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Not yet confirmed for this intake.
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