publications

2024

  1. Improving Ab-Initio Cryo-EM Reconstruction with Semi-Amortized Pose Inference
    Shayan Shekarforoush, David B Lindell, Marcus A Brubaker, David J Fleet
    arXiv preprint arXiv:2406.10455 2024
    PDF
  2. VD3D: Taming Large Video Diffusion Transformers for 3D Camera Control
    Sherwin Bahmani, Ivan Skorokhodov, Aliaksandr Siarohin, Willi Menapace, Guocheng Qian, Michael Vasilkovsky, Hsin-Ying Lee, Chaoyang Wang, Jiaxu Zou, Andrea Tagliasacchi, David B Lindell, Sergey Tulyakov
    arXiv preprint arXiv:2407.12781 2024
    Project Webpage PDF
  3. Coherent Optical Modems for Full-Wavefield Lidar
    Parsa Mirdehghan, Brandon Buscaino, Maxx Wu, Doug Charlton, Mohammad E Mousa-Pasandi, Kiriakos N Kutulakos, David B Lindell
    SIGGRAPH Asia 2024
    PDF
  4. Flying With Photons: Rendering Novel Views of Propagating Light
    Anagh Malik, Noah Juravsky, Ryan Po, Gordon Wetzstein, Kiriakos N Kutulakos, David B Lindell
    ECCV 2024 (Oral Presentation)
    Project Webpage PDF Code
  5. TC4D: Trajectory-Conditioned Text-to-4D Generation
    Sherwin Bahmani, Xian Liu, Yifan Wang, Ivan Skorokhodov, Victor Rong, Ziwei Liu, Xihui Liu, Jeong Joon Park, Sergey Tulyakov, Gordon Wetzstein, Andrea Tagliasacchi, David B Lindell
    ECCV 2024
    Project Webpage PDF Code
  6. 4D-fy: Text-to-4D Generation Using Hybrid Score Distillation Sampling
    Sherwin Bahmani, Ivan Skorokhodov, Victor Rong, Gordon Wetzstein, Leonidas Guibas, Peter Wonka, Sergey Tulyakov, Jeong Joon Park, Andrea Tagliasacchi, David B. Lindell
    CVPR 2024
    Project Webpage PDF Code
  7. SCE-MAE: Selective Correspondence Enhancement with Masked Autoencoder for Self-Supervised Landmark Estimation
    Kejia Yin, Varshanth Rao, Ruowei Jiang, Xudong Liu, Parham Aarabi, David B Lindell
    CVPR 2024
    PDF
  8. TurboSL: Dense, Accurate and Fast 3D by Neural Inverse Structured Light
    Parsa Mirdehghan, Maxx Wu, Wenzheng Chen, David B Lindell, Kiriakos N Kutulakos
    CVPR 2024
    Project Webpage PDF

2023

  1. Learning Lens Blur Fields
    Esther Y.H. Lin, Zhecheng Wang, Rebecca Lin, Daniel Miau, Florian Kainz, Jiawen Chen, Xuaner Cecilia Zhang, David B. Lindell, Kiriakos N. Kutulakos
    arXiv preprint arXiv:2310.11535 2023
    Project Webpage PDF
  2. Passive Ultra-Wideband Single-Photon Imaging
    Mian Wei, Sotiris Nousias, Rahul Gulve, David B. Lindell, Kiriakos N. Kutulakos
    ICCV 2023 (Best Paper/Marr Prize)
    Project Webpage PDF Video
  3. Transient Neural Radiance Fields for Lidar View Synthesis and 3D Reconstruction
    Anagh Malik, Parsa Mirdehghan, Sotiris Nousias, Kiriakos N Kutulakos, David B. Lindell
    NeurIPS 2023 (Spotlight)
    Project Webpage PDF Video
  4. MoSS: Monocular Shape Sensing for Continuum Robots
    Chengnan Shentu, Enxu Li, Chaojun Chen, Puspita T Dewi, David B Lindell, Jessica Burgner-Kahrs
    IEEE Robotics and Automation Letters 2023
    Project Webpage PDF
  5. Dual-Port CMOS Image Sensor with Regression-Based HDR Flux-to-Digital Conversion and 80ns Rapid-Update Pixel-Wise Exposure Coding
    Rahul Gulve, Roberto Rangel, Ayandev Barman, Don Nguyen, Mian Wei, Motasem A. Sakr, Xiaonong Sun, David B. Lindell, Kiriakos N. Kutulakos, Roman Genov
    ISSCC 2023
    PDF
  6. SparsePose: Sparse-View Camera Pose Regression and Refinement
    Samarth Sinha, Jason Y. Zhang, Andrea Tagliasacchi, Igor Gilitschenski, David B. Lindell
    CVPR 2023
    Project Webpage PDF

2022

  1. Residual Multiplicative Filter Networks for Multiscale Reconstruction
    Shayan Shekarforoush, David B. Lindell, David J. Fleet, Marcus A. Brubaker
    NeurIPS 2022
    Project Webpage PDF
  2. Generative Neural Articulated Radiance Fields
    A. W. Bergman, P. Kellnhofer, W. Yifan, E. R. Chan, David B. Lindell, Gordon Wetzstein
    NeurIPS 2022
    Project Webpage PDF
  3. Learning to Solve PDE-Constrained Inverse Problems with Graph Networks
    Qingqing Zhao, David B. Lindell, Gordon Wetzstein
    ICML 2022
    Project Webpage PDF Video
  4. 3D GAN Inversion for Controllable Portrait Image Animation
    Connor Z. Lin, David B. Lindell, Gordon Wetzstein
    ECCV Learn3DG Workshop 2022
    Project Webpage PDF Video
  5. BACON: Band-limited coordinate networks for multiscale scene representation
    David B. Lindell, Dave Van Veen, J. J. Park, Gordon Wetzstein
    CVPR 2022 (Oral Presentation)
    Project Webpage PDF Video Code

2021

  1. ACORN: Adaptive Coordinate Networks for Neural Representation
    Julien N. P. Martel, David B. Lindell, Connor Z. Lin, Eric R. Chan, M. Monteiro, G. Wetzstein
    ACM Trans. Graph. (SIGGRAPH) 2021
    Project Webpage PDF Video Code
  2. AutoInt: Automatic Integration for Fast Neural Volume Rendering
    David B. Lindell*, Julien N. P. Martel*, Gordon Wetzstein
    CVPR 2021
    Project Webpage PDF Video Code
  3. 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 Transactions on Computational Imaging 2021
    Project Webpage PDF Video Code

2020

  1. Three-Dimensional Imaging Through Scattering Media based on Confocal Diffuse Tomography
    David B. Lindell, Gordon Wetzstein
    Nature Communications 2020 (2020 Top 50 Physics Articles)
    Project Webpage PDF Video Code
  2. Implicit Neural Representations with Periodic Activation Functions
    Vincent Sitzmann, Julien N. P. Martel, Alexander W. Bergman, David B. Lindell, Gordon Wetzstein
    NeurIPS 2020 (Oral Presentation)
    Project Webpage PDF Video Code
  3. Disambiguating Monocular Depth Estimation with a Single Transient
    Mark Nishimura, David B. Lindell, Christopher A. Metzler, Gordon Wetzstein
    ECCV 2020
    Project Webpage PDF Video Code
  5. Non-Line-of-Sight Surface Reconstruction using the Directional Light-Cone Transform
    Sean I. Young, David B. Lindell, Bernd Girod, David Taubman, Gordon Wetzstein
    CVPR 2020 (Oral Presentation)
    Project Webpage PDF Video Code
  6. SPADnet: Deep RGB-SPAD Sensor Fusion Assisted by Monocular Depth Estimation
    Zhanghao Sun, David B. Lindell, Olav Solgaard, Gordon Wetzstein
    Optics Express 2020
    Project Webpage PDF Code

2019

  1. Wave-Based Non-Line-of-Sight Imaging using Fast f–k Migration
    David B. Lindell, Gordon Wetzstein, Matthew O’Toole
    ACM Trans. Graph. (SIGGRAPH) 2019
    Project Webpage PDF Video Code
  2. Acoustic Non-Line-of-Sight Imaging
    David B. Lindell, Gordon Wetzstein, Vladlen Koltun
    CVPR 2019 (Oral Presentation)
    Project Webpage PDF Video Code
  3. Non-Line-of-Sight Imaging with Partial Occluders and Surface Normals
    Felix Heide, Matthew O’Toole, Kai Zang, David B. Lindell, Steven Diamond, Gordon Wetzstein
    ACM Trans. Graph. 2019
    Project Webpage PDF Video

2018

  1. Single-Photon 3D Imaging with Deep Sensor Fusion
    David B. Lindell, Matthew O’Toole, Gordon Wetzstein
    ACM Trans. Graph. (SIGGRAPH) 2018
    Project Webpage PDF Video Code
  2. Sub-Picosecond Photon-Efficient 3D Imaging Using Single-Photon Sensors
    Felix Heide, Steven Diamond, David B. Lindell, Gordon Wetzstein
    Scientific Reports 2018
    Project Webpage PDF Code
  3. Confocal Non-Line-of-Sight Imaging Based on the Light Cone Transform
    Matthew O’Toole, David B. Lindell, Gordon Wetzstein
    Nature 2018
    Project Webpage PDF Video Code
  4. Towards Transient Imaging at Interactive Rates with Single-Photon Detectors
    David B. Lindell, Matthew O’Toole, Gordon Wetzstein
    ICCP 2018
    Project Webpage PDF Video Code

2017

  1. Reconstructing Transient Images from Single-Photon Sensors
    Matthew O’Toole, Felix Heide, David B. Lindell, Kai Zang, Steven Diamond, Gordon Wetzstein
    CVPR 2017 (Spotlight)
    Project Webpage PDF Video Code

2016

  1. High-Resolution Soil Moisture Retrieval With ASCAT
    David B. Lindell, David G. Long
    IEEE Geosci. Remote Sens. Lett. 2016
    Project Webpage PDF Code
  2. Multiyear Arctic Ice Classification Using ASCAT and SSMIS
    David B. Lindell, David G. Long
    Remote Sensing 2016
    Project Webpage PDF

2015

  1. Multiyear Arctic Sea Ice Classification Using OSCAT and QuikSCAT
    David B. Lindell, David G. Long
    IEEE Trans. Geosci. Remote Sens. 2015
    Project Webpage PDF