David B. Lindell

90 papers A* 25A 2B 2Journal 53Unranked 8
YearRankTypeTitle / Venue / Authors
2026 J jnl
Dark3R: Learning Structure from Motion in the Dark.
CoRR
Andrew Y. Guo, Anagh Malik, SaiKiran Kumar Tedla, Yutong Dai, Yiqian Qin, Zach Salehe, Benjamin Attal, Sotiris Nousias, Kiriakos N. Kutulakos, David B. Lindell
2026 J jnl
Grow with the Flow: 4D Reconstruction of Growing Plants with Gaussian Flow Fields.
CoRR
Weihan Luo, Lily Goli, Sherwin Bahmani, Felix Taubner, Andrea Tagliasacchi, David B. Lindell
2026 J jnl
Lumosaic: Hyperspectral Video via Active Illumination and Coded-Exposure Pixels.
CoRR
Dhruv Verma, Andrew Qiu, Roberto Rangel, Ayandev Barman, Hao Yang, Chenjia Hu, Fengqi Zhang, Roman Genov, David B. Lindell, Kiriakos N. Kutulakos, Alex Mariakakis
2026 J jnl
Skullptor: High Fidelity 3D Head Reconstruction in Seconds with Multi-View Normal Prediction.
CoRR
Noé Artru, Rukhshanda Hussain, Emeline Got, Alexandre Messier, David B. Lindell, Abdallah Dib
2025 A* conf
AC3D: Analyzing and Improving 3D Camera Control in Video Diffusion Transformers.
CVPR
Sherwin Bahmani, Ivan Skorokhodov, Guocheng Qian, Aliaksandr Siarohin, Willi Menapace, Andrea Tagliasacchi, David B. Lindell, Sergey Tulyakov
2025 A* conf
CAP4D: Creating Animatable 4D Portrait Avatars with Morphable Multi-View Diffusion Models.
CVPR
Felix Taubner, Ruihang Zhang, Mathieu Tuli, David B. Lindell
2025 A* conf
Efficient Neural Network Encoding for 3D Color Lookup Tables.
AAAI
Vahid Zehtab, David B. Lindell, Marcus A. Brubaker, Michael S. Brown
2025 A conf
GStex: Per-Primitive Texturing of 2D Gaussian Splatting for Decoupled Appearance and Geometry Modeling.
WACV
Victor Rong, Jingxiang Chen, Sherwin Bahmani, Kiriakos N. Kutulakos, David B. Lindell
2025 J jnl
Generating the Past, Present and Future from a Motion-Blurred Image.
CoRR
SaiKiran Kumar Tedla, Kelly Zhu, Trevor D. Canham, Felix Taubner, Michael S. Brown, Kiriakos N. Kutulakos, David B. Lindell
2025 J jnl
Generating the Past, Present and Future from a Motion-Blurred Image.
ACM Trans. Graph.
SaiKiran Kumar Tedla, Kelly Zhu, Trevor D. Canham, Felix Taubner, Michael S. Brown, Kiriakos N. Kutulakos, David B. Lindell
2025 J jnl
Generative Panoramic Image Stitching.
CoRR
Mathieu Tuli, Kaveh Kamali, David B. Lindell
2025 J jnl
Learning Lens Blur Fields.
IEEE Trans. Pattern Anal. Mach. Intell.
Esther Y. H. Lin, Zhecheng Wang, Rebecca Lin, Daniel Miau, Florian Kainz, Jiawen Chen, Xuaner Zhang, David B. Lindell, Kiriakos N. Kutulakos
2025 J jnl
Lyra: Generative 3D Scene Reconstruction via Video Diffusion Model Self-Distillation.
CoRR
Sherwin Bahmani, Tianchang Shen, Jiawei Ren, Jiahui Huang, Yifeng Jiang, Haithem Turki, Andrea Tagliasacchi, David B. Lindell, Zan Gojcic, Sanja Fidler, Huan Ling, Jun Gao, Xuanchi Ren
2025 A* conf
MVP4D: Multi-View Portrait Video Diffusion for Animatable 4D Avatars.
SIGGRAPH Asia
Felix Taubner, Ruihang Zhang, Mathieu Tuli, Sherwin Bahmani, David B. Lindell
2025 J jnl
MVP4D: Multi-View Portrait Video Diffusion for Animatable 4D Avatars.
CoRR
Felix Taubner, Ruihang Zhang, Mathieu Tuli, Sherwin Bahmani, David B. Lindell
2025 A* conf
Neural Inverse Rendering from Propagating Light.
CVPR
Anagh Malik, Benjamin Attal, Andrew Xie, Matthew O'Toole, David B. Lindell
2025 J jnl
Neural Inverse Rendering from Propagating Light.
CoRR
Anagh Malik, Benjamin Attal, Andrew Xie, Matthew O'Toole, David B. Lindell
2025 J jnl
Nexels: Neurally-Textured Surfels for Real-Time Novel View Synthesis with Sparse Geometries.
CoRR
Victor Rong, Jan Held, Victor Chu, Daniel Rebain, Marc Van Droogenbroeck, Kiriakos N. Kutulakos, Andrea Tagliasacchi, David B. Lindell
2025 A* conf
Opportunistic Single-Photon Time of Flight.
CVPR
Sotiris Nousias, Mian Wei, Howard Xiao, Maxx Wu, Shahmeer Athar, Kevin J. Wang, Anagh Malik, David A. Barmherzig, David B. Lindell, Kyros Kutulakos
2025 J jnl
Reconstructing Heterogeneous Biomolecules via Hierarchical Gaussian Mixtures and Part Discovery.
CoRR
Shayan Shekarforoush, David B. Lindell, Marcus A. Brubaker, David J. Fleet
2025 A* conf
SG-I2V: Self-Guided Trajectory Control in Image-to-Video Generation.
ICLR
Koichi Namekata, Sherwin Bahmani, Ziyi Wu, Yash Kant, Igor Gilitschenski, David B. Lindell
2025 A conf
Transientangelo: Few-Viewpoint Surface Reconstruction Using Single-Photon Lidar.
WACV
Weihan Luo, Anagh Malik, David B. Lindell
2025 A* conf
VD3D: Taming Large Video Diffusion Transformers for 3D Camera Control.
ICLR
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
2025 J jnl
VibES: Induced Vibration for Persistent Event-Based Sensing.
CoRR
Vincenzo Polizzi, Stephen Yang, Quentin Clark, Jonathan Kelly, Igor Gilitschenski, David B. Lindell
2024 — conf
23, 000-Exposures/s 360fps-Readout Software-Defined Image Sensor with Motion-Adaptive Spatially Varying Imaging Speed.
VLSI Technology and Circuits
Roberto Rangel, Xiaonong Sun, Ayandev Barman, Rahul Gulve, Savo Bajic, Jingmin Wang, Harry Wang, David B. Lindell, Kiriakos N. Kutulakos, Roman Genov
2024 A* conf
4D-fy: Text-to-4D Generation Using Hybrid Score Distillation Sampling.
CVPR
Sherwin Bahmani, Ivan Skorokhodov, Victor Rong, Gordon Wetzstein, Leonidas J. Guibas, Peter Wonka, Sergey Tulyakov, Jeong Joon Park, Andrea Tagliasacchi, David B. Lindell
2024 J jnl
AC3D: Analyzing and Improving 3D Camera Control in Video Diffusion Transformers.
CoRR
Sherwin Bahmani, Ivan Skorokhodov, Guocheng Qian, Aliaksandr Siarohin, Willi Menapace, Andrea Tagliasacchi, David B. Lindell, Sergey Tulyakov
2024 J jnl
CAP4D: Creating Animatable 4D Portrait Avatars with Morphable Multi-View Diffusion Models.
CoRR
Felix Taubner, Ruihang Zhang, Mathieu Tuli, David B. Lindell
2024 J jnl
ChromaFlash: Snapshot Hyperspectral Imaging Using Rolling Shutter Cameras.
Proc. ACM Interact. Mob. Wearable Ubiquitous Technol.
Dhruv Verma, Ian Ruffolo, David B. Lindell, Kiriakos N. Kutulakos, Alex Mariakakis
2024 A* conf
Coherent Optical Modems for Full-Wavefield Lidar.
SIGGRAPH Asia
Parsa Mirdehghan, Brandon Buscaino, Maxx Wu, Doug Charlton, Mohammad E. Mousa-Pasandi, Kiriakos N. Kutulakos, David B. Lindell
2024 J jnl
Coherent Optical Modems for Full-Wavefield Lidar.
CoRR
Parsa Mirdehghan, Brandon Buscaino, Maxx Wu, Doug Charlton, Mohammad E. Mousa-Pasandi, Kiriakos N. Kutulakos, David B. Lindell
2024 A* conf
CryoSPIN: Improving Ab-Initio Cryo-EM Reconstruction with Semi-Amortized Pose Inference.
NeurIPS
Shayan Shekarforoush, David B. Lindell, Marcus A. Brubaker, David J. Fleet
2024 J jnl
Efficient Neural Network Encoding for 3D Color Lookup Tables.
CoRR
Vahid Zehtab, David B. Lindell, Marcus A. Brubaker, Michael S. Brown
2024 — conf
Flying with Photons: Rendering Novel Views of Propagating Light.
ECCV (21)
Anagh Malik, Noah Juravsky, Ryan Po, Gordon Wetzstein, Kiriakos N. Kutulakos, David B. Lindell
2024 J jnl
Flying with Photons: Rendering Novel Views of Propagating Light.
CoRR
Anagh Malik, Noah Juravsky, Ryan Po, Gordon Wetzstein, Kiriakos N. Kutulakos, David B. Lindell
2024 J jnl
GStex: Per-Primitive Texturing of 2D Gaussian Splatting for Decoupled Appearance and Geometry Modeling.
CoRR
Victor Rong, Jingxiang Chen, Sherwin Bahmani, Kiriakos N. Kutulakos, David B. Lindell
2024 J jnl
Improving Ab-Initio Cryo-EM Reconstruction with Semi-Amortized Pose Inference.
CoRR
Shayan Shekarforoush, David B. Lindell, Marcus A. Brubaker, David J. Fleet
2024 J jnl
MoSS: Monocular Shape Sensing for Continuum Robots.
IEEE Robotics Autom. Lett.
Chengnan Shentu, Enxu Li, Chaojun Chen, Puspita Triana Dewi, David B. Lindell, Jessica Burgner-Kahrs
2024 A* conf
SCE-MAE: Selective Correspondence Enhancement with Masked Autoencoder for Self-Supervised Landmark Estimation.
CVPR
Kejia Yin, Varshanth S. Rao, Ruowei Jiang, Xudong Liu, Parham Aarabi, David B. Lindell
2024 J jnl
SCE-MAE: Selective Correspondence Enhancement with Masked Autoencoder for Self-Supervised Landmark Estimation.
CoRR
Kejia Yin, Varshanth R. Rao, Ruowei Jiang, Xudong Liu, Parham Aarabi, David B. Lindell
2024 J jnl
SG-I2V: Self-Guided Trajectory Control in Image-to-Video Generation.
CoRR
Koichi Namekata, Sherwin Bahmani, Ziyi Wu, Yash Kant, Igor Gilitschenski, David B. Lindell
2024 — conf
TC4D: Trajectory-Conditioned Text-to-4D Generation.
ECCV (46)
Sherwin Bahmani, Xian Liu, Wang Yifan, Ivan Skorokhodov, Victor Rong, Ziwei Liu, Xihui Liu, Jeong Joon Park, Sergey Tulyakov, Gordon Wetzstein, Andrea Tagliasacchi, David B. Lindell
2024 J jnl
TC4D: Trajectory-Conditioned Text-to-4D Generation.
CoRR
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
2024 J jnl
Transientangelo: Few-Viewpoint Surface Reconstruction Using Single-Photon Lidar.
CoRR
Weihan Luo, Anagh Malik, David B. Lindell
2024 A* conf
TurboSL: Dense, Accurate and Fast 3D by Neural Inverse Structured Light.
CVPR
Parsa Mirdehghan, Maxx Wu, Wenzheng Chen, David B. Lindell, Kiriakos N. Kutulakos
2024 J jnl
VD3D: Taming Large Video Diffusion Transformers for 3D Camera Control.
CoRR
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
2023 J jnl
4D-fy: Text-to-4D Generation Using Hybrid Score Distillation Sampling.
CoRR
Sherwin Bahmani, Ivan Skorokhodov, Victor Rong, Gordon Wetzstein, Leonidas J. Guibas, Peter Wonka, Sergey Tulyakov, Jeong Joon Park, Andrea Tagliasacchi, David B. Lindell
2023 — conf
Dual-Port CMOS Image Sensor with Regression-Based HDR Flux-to-Digital Conversion and 80ns Rapid-Update Pixel-Wise Exposure Coding.
ISSCC
Rahul Gulve, Roberto Rangel, Ayandev Barman, Don Nguyen, Mian Wei, Motasem Sakr, Xiaonong Sun, David B. Lindell, Kiriakos N. Kutulakos, Roman Genov
2023 J jnl
Learning Lens Blur Fields.
CoRR
Esther Y. H. Lin, Zhecheng Wang, Rebecca Lin, Daniel Miau, Florian Kainz, Jiawen Chen, Xuaner Cecilia Zhang, David B. Lindell, Kiriakos N. Kutulakos
2023 J jnl
MoSS: Monocular Shape Sensing for Continuum Robots.
CoRR
Chengnan Shentu, Enxu Li, Chaojun Chen, Puspita Triana Dewi, David B. Lindell, Jessica Burgner-Kahrs
2023 A* conf
Passive Ultra-Wideband Single-Photon Imaging.
ICCV
Mian Wei, Sotiris Nousias, Rahul Gulve, David B. Lindell, Kiriakos N. Kutulakos
2023 A* conf
SparsePose: Sparse-View Camera Pose Regression and Refinement.
CVPR
Samarth Sinha, Jason Y. Zhang, Andrea Tagliasacchi, Igor Gilitschenski, David B. Lindell
2023 A* conf
Transient Neural Radiance Fields for Lidar View Synthesis and 3D Reconstruction.
NeurIPS
Anagh Malik, Parsa Mirdehghan, Sotiris Nousias, Kyros Kutulakos, David B. Lindell
2023 J jnl
Transient Neural Radiance Fields for Lidar View Synthesis and 3D Reconstruction.
CoRR
Anagh Malik, Parsa Mirdehghan, Sotiris Nousias, Kiriakos N. Kutulakos, David B. Lindell
2022 J jnl
3D GAN Inversion for Controllable Portrait Image Animation.
CoRR
Connor Z. Lin, David B. Lindell, Eric R. Chan, Gordon Wetzstein
2022 A* conf
Bacon: Band-limited Coordinate Networks for Multiscale Scene Representation.
CVPR
David B. Lindell, Dave Van Veen, Jeong Joon Park, Gordon Wetzstein
2022 A* conf
Generative Neural Articulated Radiance Fields.
NeurIPS
Alexander W. Bergman, Petr Kellnhofer, Wang Yifan, Eric R. Chan, David B. Lindell, Gordon Wetzstein
2022 J jnl
Generative Neural Articulated Radiance Fields.
CoRR
Alexander W. Bergman, Petr Kellnhofer, Wang Yifan, Eric R. Chan, David B. Lindell, Gordon Wetzstein
2022 A* conf
Learning to Solve PDE-constrained Inverse Problems with Graph Networks.
ICML
Qingqing Zhao, David B. Lindell, Gordon Wetzstein
2022 J jnl
Learning to Solve PDE-constrained Inverse Problems with Graph Networks.
CoRR
Qingqing Zhao, David B. Lindell, Gordon Wetzstein
2022 A* conf
Residual Multiplicative Filter Networks for Multiscale Reconstruction.
NeurIPS
Shayan Shekarforoush, David B. Lindell, David J. Fleet, Marcus A. Brubaker
2022 J jnl
Residual Multiplicative Filter Networks for Multiscale Reconstruction.
CoRR
Shayan Shekarforoush, David B. Lindell, David J. Fleet, Marcus A. Brubaker
2022 J jnl
Scale-Agnostic Super-Resolution in MRI using Feature-Based Coordinate Networks.
CoRR
Dave Van Veen, Rogier van der Sluijs, Batu Ozturkler, Arjun D. Desai, Christian Bluethgen, Robert D. Boutin, Marc H. Willis, Gordon Wetzstein, David B. Lindell, Shreyas Vasanawala, John M. Pauly, Akshay S. Chaudhari
2022 J jnl
SparsePose: Sparse-View Camera Pose Regression and Refinement.
CoRR
Samarth Sinha, Jason Y. Zhang, Andrea Tagliasacchi, Igor Gilitschenski, David B. Lindell
2021 J jnl
ACORN: Adaptive Coordinate Networks for Neural Scene Representation.
CoRR
Julien N. P. Martel, David B. Lindell, Connor Z. Lin, Eric R. Chan, Marco Monteiro, Gordon Wetzstein
2021 J jnl
Acorn: adaptive coordinate networks for neural scene representation.
ACM Trans. Graph.
Julien N. P. Martel, David B. Lindell, Connor Z. Lin, Eric R. Chan, Marco Monteiro, Gordon Wetzstein
2021 A* conf
AutoInt: Automatic Integration for Fast Neural Volume Rendering.
CVPR
David B. Lindell, Julien N. P. Martel, Gordon Wetzstein
2021 J jnl
BACON: Band-limited Coordinate Networks for Multiscale Scene Representation.
CoRR
David B. Lindell, Dave Van Veen, Jeong Joon Park, Gordon Wetzstein
2021 J jnl
Keyhole Imaging: Non-Line-of-Sight Imaging and Tracking of Moving Objects Along a Single Optical Path.
IEEE Trans. Computational Imaging
Christopher A. Metzler, David B. Lindell, Gordon Wetzstein
2020 J jnl
AutoInt: Automatic Integration for Fast Neural Volume Rendering.
CoRR
David B. Lindell, Julien N. P. Martel, Gordon Wetzstein
2020 — conf
Computational time-resolved imaging, single-photon sensing, and non-line-of-sight imaging.
SIGGRAPH Courses
David B. Lindell, Matthew O'Toole, Srinivasa G. Narasimhan, Ramesh Raskar
2020 B conf
Deep Adaptive LiDAR: End-to-end Optimization of Sampling and Depth Completion at Low Sampling Rates.
ICCP
Alexander W. Bergman, David B. Lindell, Gordon Wetzstein
2020 — conf
Disambiguating Monocular Depth Estimation with a Single Transient.
ECCV (21)
Mark Nishimura, David B. Lindell, Christopher A. Metzler, Gordon Wetzstein
2020 A* conf
Implicit Neural Representations with Periodic Activation Functions.
NeurIPS
Vincent Sitzmann, Julien N. P. Martel, Alexander W. Bergman, David B. Lindell, Gordon Wetzstein
2020 J jnl
Implicit Neural Representations with Periodic Activation Functions.
CoRR
Vincent Sitzmann, Julien N. P. Martel, Alexander W. Bergman, David B. Lindell, Gordon Wetzstein
2020 A* conf
Non-Line-of-Sight Surface Reconstruction Using the Directional Light-Cone Transform.
CVPR
Sean I. Young, David B. Lindell, Bernd Girod, David Taubman, Gordon Wetzstein
2019 A* conf
Acoustic Non-Line-Of-Sight Imaging.
CVPR
David B. Lindell, Gordon Wetzstein, Vladlen Koltun
2019 J jnl
Keyhole Imaging: Non-Line-of-Sight Imaging and Tracking of Moving Objects Along a Single Optical Path at Long Standoff Distances.
CoRR
Christopher A. Metzler, David B. Lindell, Gordon Wetzstein
2019 J jnl
Non-line-of-sight Imaging with Partial Occluders and Surface Normals.
ACM Trans. Graph.
Felix Heide, Matthew O'Toole, Kai Zang, David B. Lindell, Steven Diamond, Gordon Wetzstein
2019 J jnl
Wave-based non-line-of-sight imaging using fast
ACM Trans. Graph.
David B. Lindell, Gordon Wetzstein, Matthew O'Toole
2018 J jnl
Confocal non-line-of-sight imaging based on the light-cone transform.
Nat.
Matthew O'Toole, David B. Lindell, Gordon Wetzstein
2018 — conf
Confocal non-line-of-sight imaging.
SIGGRAPH Talks
Matthew O'Toole, David B. Lindell, Gordon Wetzstein
2018 — conf
Real-time non-line-of-sight imaging.
SIGGRAPH Emerging Technologies
Matthew O'Toole, David B. Lindell, Gordon Wetzstein
2018 J jnl
Single-photon 3D imaging with deep sensor fusion.
ACM Trans. Graph.
David B. Lindell, Matthew O'Toole, Gordon Wetzstein
2018 B conf
Towards transient imaging at interactive rates with single-photon detectors.
ICCP
David B. Lindell, Matthew O'Toole, Gordon Wetzstein
2017 A* conf
Reconstructing Transient Images from Single-Photon Sensors.
CVPR
Matthew O'Toole, Felix Heide, David B. Lindell, Kai Zang, Steven Diamond, Gordon Wetzstein
2017 J jnl
Robust Non-line-of-sight Imaging with Single Photon Detectors.
CoRR
Felix Heide, Matthew O'Toole, Kai Zhang, David B. Lindell, Steven Diamond, Gordon Wetzstein
2016 J jnl
High-Resolution Soil Moisture Retrieval With ASCAT.
IEEE Geosci. Remote. Sens. Lett.
David B. Lindell, David G. Long
2016 J jnl
Multiyear Arctic Ice Classification Using ASCAT and SSMIS.
Remote. Sens.
David B. Lindell, David G. Long
2016 J jnl
Multiyear Arctic Sea Ice Classification Using OSCAT and QuikSCAT.
IEEE Trans. Geosci. Remote. Sens.
David B. Lindell, David G. Long