David B. Lindell
Assistant Professor
Studies computational imaging, 3D computer vision and time-of-flight imaging with physics-based machine learning.
David B. Lindell's lab at Toronto works on computational imaging & photography and 3D vision & neural rendering. 36 papers since 2023, 28 at top venues, mostly CVPR and ICLR. 13 PhD students and 1 master's student. 40 alumni. Applications close .
At a glance
- papers, 2023–2026
- 9/ year
- at T1 venues
- 78%
- PhD students
- 13
- MS students
- 1
- alumni listed
- 40
Papers by yearfrom the lab homepage, 2023–2026
- 10 papers2026 · T1 7 · collecting
- 13 papers2025 · T1 11
- 8 papers2024 · T1 7
- 5 papers2023 · T1 3
T1 venuesOtherVenues: CVPR, ICLR, NeurIPS, ECCV, SIGGRAPH Asia
Research focuspaper titles that use each topic's words
- 3D vision & neural rendering6 papers
- Computational imaging & photography2 papers
- imaging2 papers
- physics-based0 papers
- computational imaging0 papers
Paper list
From the lab homepage.
202610 papers
- CVPR (T1)Dark3r: Learning Structure from Motion in the Dark (opens in a new tab)
- CVPR (T1)Efficient and Training-Free Single-Image Diffusion Models (opens in a new tab)
- CVPRWGenerative panoramic image stitching (opens in a new tab)
- CVPR (T1)Inter-Photon-Limited Videography (opens in a new tab)
- CVPR (T1)Lumosaic: Hyperspectral Video via Active Illumination and Coded-Exposure Pixels (opens in a new tab)
- ICLR (T1)Lyra: Generative 3D Scene Reconstruction via Video Diffusion Model Self-Distillation (opens in a new tab)
- OpticaPolarimetric Full-Wavefield Coherent Lidar
- CVPR (T1)Skullptor: High Fidelity 3D Head Reconstruction in Seconds with Multi-View Normal Prediction (opens in a new tab)
- CVPR (T1)Velox: Learning Representations of 4D Geometry and Appearance (opens in a new tab)
- 3DVVibES: Induced Vibration for Persistent Event-Based Sensing (opens in a new tab)
202513 papers
- CVPR (T1)AC3D: Analyzing and Improving 3D Camera Control in Video Diffusion Transformers (opens in a new tab)
- CVPR (T1)CAP4D: Creating Animatable 4D Portrait Avatars with Morphable Multi-View Diffusion Models (opens in a new tab)
- AAAI (T1)Efficient Neural Network Encoding for 3D Color Lookup Tables (opens in a new tab)
- TOG (T1)Generating the Past, Present and Future from a Motion-Blurred Image (opens in a new tab)
- WACVGStex: Per-primitive texturing of 2D Gaussian splatting for decoupled appearance and geometry modeling (opens in a new tab)
- TPAMI (T1)Learning Lens Blur Fields (opens in a new tab)
- SIGGRAPH Asia (T1)MVP4D: Multi-View Portrait Video Diffusion for Animatable 4D Avatars (opens in a new tab)
- CVPR (T1)Neural Inverse Rendering from Propagating Light (opens in a new tab)
- CVPR (T1)Opportunistic Single-Photon Time of Flight (opens in a new tab)
- NeurIPS (T1)Reconstructing Heterogeneous Biomolecules via Hierarchical Gaussian Mixtures and Part Discovery (opens in a new tab)
- ICLR (T1)SG-I2V: Self-guided trajectory control in image-to-video generation (opens in a new tab)
- WACVTransientangelo: Few-Viewpoint Surface Reconstruction Using Single-Photon Lidar (opens in a new tab)
20248 papers
- CVPR (T1)4D-fy: Text-to-4D Generation Using Hybrid Score Distillation Sampling (opens in a new tab)
- IMWUTChromaFlash: Snapshot Hyperspectral Imaging Using Rolling Shutter Cameras (opens in a new tab)
- SIGGRAPH Asia (T1)Coherent Optical Modems for Full-Wavefield Lidar (opens in a new tab)
- NeurIPS (T1)CryoSPIN: Improving Ab-Initio Cryo-EM Reconstruction with Semi-Amortized Pose Inference (opens in a new tab)
- ECCV (T1)Flying With Photons: Rendering Novel Views of Propagating Light (opens in a new tab)
- CVPR (T1)SCE-MAE: Selective Correspondence Enhancement with Masked Autoencoder for Self-Supervised Landmark Estimation (opens in a new tab)
- ECCV (T1)TC4D: Trajectory-Conditioned Text-to-4D Generation (opens in a new tab)
- CVPR (T1)TurboSL: Dense, Accurate and Fast 3D by Neural Inverse Structured Light (opens in a new tab)
20235 papers
- ISSCCDual-Port CMOS Image Sensor with Regression-Based HDR Flux-to-Digital Conversion and 80ns Rapid-Update Pixel-Wise Exposure Coding (opens in a new tab)
- RA-LMoSS: Monocular Shape Sensing for Continuum Robots (opens in a new tab)
- ICCV (T1)Passive Ultra-Wideband Single-Photon Imaging (opens in a new tab)
- CVPR (T1)SparsePose: Sparse-View Camera Pose Regression and Refinement (opens in a new tab)
- NeurIPS (T1)Transient Neural Radiance Fields for Lidar View Synthesis and 3D Reconstruction (opens in a new tab)
Where alumni went40 listed
Apply to TorontoFall 2027
Computer Science MSc/PhD
- Round
- Single round (Dec 1)
- Opens
- —
- GRE
- optional
- English
- TOEFL/IELTS if applicable
- Fee
- CAD 135
Confirmed on the program page.
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