Publications

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 2024

Improving Ab-Initio Cryo-EM Reconstruction with Semi-Amortized Pose Inference

Shayan Shekarforoush, David B Lindell, Marcus A Brubaker, David J Fleet

arXiv 2024

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

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

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)

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

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

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

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)

Passive Ultra-Wideband Single-Photon Imaging

Mian Wei, Sotiris Nousias, Rahul Gulve, David B. Lindell, Kiriakos N. Kutulakos

ICCV 2023 (Marr Prize)

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 Sakr, Xiaonong Sun, David B. Lindell, Kyros Kutulakos, Roman Genov

ISSCC 2023

SparsePose: Sparse-View Camera Pose Regression and Refinement

Samarth Sinha, Jason Y. Zhang, Andrea Tagliasacchi, Igor Gilitschenski, David B. Lindell

CVPR 2023

Residual Multiplicative Filter Networks for Multiscale Reconstruction

Shayan Shekarforoush, David B. Lindell, David Fleet, Marcus Brubaker

NeurIPS 2022

Simultaneous estimation of segmented telescope phasing errors and non-common path aberrations from adaptive optics corrected images

Masen Lamb, Carlos Correia, Suresh Sivanandam, Robin Swanson, Polina Zavyalova

MNRAS 2022

Computational Nonscanning Incoherent Superoscillatory Imaging

Haitang Yang, Esther Y. H. Lin, Kiriakos N. Kutulakos, George V. Eleftheriades

ACS Photonics 2022

A 39,000 Subexposures/s CMOS Image Sensor with Dual-tap Coded-exposure Data-memory Pixel for Adaptive Single-shot Computational Imaging

R. Gulve, N. Sarhangnejad, G. Dutta, M. Sakr, D. Nguyen, R. Rangel, W. Chen, Z. Xia, M. Wei, N. Gusev, E. Y. H. Lin, W. Sun, L. Hanxu, N. Katic, A. Abdelhadi, A. Moshovos, K. N. Kutulakos, R. Genov

VLSI 2022

BACON: Band-limited coordinate networks for multiscale scene representation

David B. Lindell, Dave Van Veen, Jeong Joon Park, Gordon Wetzstein

CVPR 2022 (Oral)

Generative Neural Articulated Radiance Fields

Alexander Bergman, Petr Kellnhofer, Wang Yifan, Eric R. Chan, David B. Lindell, Gordon Wetzstein

NeurIPS 2022

Learning to Solve PDE-Constrained Inverse Problems with Graph Networks

Qingqing Zhao, David B. Lindell, Gordon Wetzstein

ICML 2022

Closed Loop Predictive Control of Adaptive Optics Systems with Convolutional Neural Networks

Robin Swanson, Masen Lamb, Carlos Correia, Suresh Sivanandam, Kiriakos Kutulakos

MNRAS 2021

3D GAN Inversion for Controllable Portrait Image Animation

Connor Z. Lin, David B. Lindell, Gordon Wetzstein

ECCV Learn3DG Workshop 2022

ACORN: Adaptive coordinate networks for neural representation

Julien N. P. Martel, David B. Lindell, Connor Z. Lin, Eric R. Chan, Marco Monteiro, Gordon Wetzstein

SIGGRAPH 2021

AutoInt: Automatic Integration for Fast Neural Volume Rendering

David B. Lindell, Julien N. P. Martel, Gordon Wetzstein

CVPR 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. Comput. Imaging 2021

Three-Dimensional Imaging Through Scattering Media based on Confocal Diffuse Tomography

David B. Lindell and Gordon Wetzstein

Nature Communications 2020

Implicit Neural Representations with Periodic Activation Functions

Vincent Sitzmann, Julien N. P. Martel, Alexander W. Bergman, David B. Lindell, Gordon Wetzstein

NeurIPS 2020 (Oral)

Learned Feature Embeddings for Non-Line-of-Sight Imaging and Recognition

Wenzheng Chen, Fangyin Wei, Kiriakos N. Kutulakos, Szymon Rusinkiewicz, Felix Heide

SIGGRAPH Asia 2020

Disambiguating Monocular Depth Estimation with a Single Transient

Mark Nishimura, David B. Lindell, Chris Metzler, Gordon Wetzstein

ECCV 2020

A Neural Rendering Framework for Free-Viewpoint Relighting

Zhang Chen, Anpei Chen, Guli Zhang, Chengyuan Wang, Yu Ji, Kiriakos N. Kutulakos, Jingyi Yu

CVPR 2020

Photometric Stereo via Discrete Hypothesize-and-Test Search

Kenji Enomoto, Michael Waechter, Kiriakos N. Kutulakos, Yasayuki Matsushita

CVPR 2020

Auto-Tuning Structured Light by Optical Stochastic Gradient Descent

Wenzheng Chen, Parsa Mirdehghan, Sanja Fidler, Kiriakos N. Kutulakos

CVPR 2020

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)

End-to-End Video Compressive Sensing Using Anderson-Accelerated Unrolled Networks

Yuqi Li, Miao Qi, Rahul Gulve, Mian Wei, Roman Genov, Kiriakos N. Kutulakos and Wolfgang Heidrich

ICCP 2020

Deep Adaptive LIDAR: End-to-end optimization of sampling and depth completion at low sampling rates

Alexander W. Bergman, David B. Lindell, Gordon Wetzstein

ICCP 2020

SPADnet: Deep RGB-SPAD Sensor Fusion Assisted by Monocular Depth Estimation

Zhanghao Sun, David B. Lindell, Olav Solgaard, Gordon Wetzstein

Optics Express 2020

Wave-Based Non-Line-of-Sight Imaging using Fast f–k Migration

David B. Lindell, Matthew O’Toole, Gordon Wetzstein

SIGGRAPH 2019

5.5 Dual-Tap Pipelined-Code-Memory Coded-Exposure-Pixel CMOS Image Sensor for Multi-Exposure Single-Frame Computational Imaging

Navid Sarhangnejad, Nikola Katic, Zhengfan Xia, Mian Wei, Nikita Gusev, Gairik Dutta, Rahul Gulve, Harel Haim, Manuel Moreno Garcia, David Stoppa, Kiriakos N. Kutulakos and Roman Genov

ISSCC 2019

A Theory of Fermat Paths for NLOS Shape Reconstruction

Shumian Xin, Sotiris Nousias, Kiriakos N. Kutulakos, Aswin C. Sankaranarayanan, Srinivasa G. Narasimhan, Ioannis Gkioulekas

CVPR 2019 (Best Paper!)

Acoustic Non-Line-of-Sight Imaging

David B. Lindell, Gordon Wetzstein, Vladlen Koltun

CVPR 2019 (Oral)

Dual-tap Computational Photography Image Sensor with Per-pixel Pipelined Digital Memory for Intra-frame Coded Multi-exposure

Narvid Sarhangnejad, Nikola Katic, Zhengfan Xia, Mian Wei, Nikita Gusev, Gairik Dutta, Rahul Gulve, Peter Zhi Xuan Li, Hui Feng Ke, Harel Haim, Manuel Moreno-García, David Stoppa, Kiriakos N. Kutulakos, Roman Genov

IEEE J. Solid-State Circuits 2019

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