![TC4D: Trajectory-Conditioned Text-to-4D Generation](https://compimaging.dgp.toronto.edu/wp-content/uploads/2024/04/Screenshot-2024-04-17-at-4.08.18 AM.png)
![TC4D: Trajectory-Conditioned Text-to-4D Generation](https://compimaging.dgp.toronto.edu/wp-content/uploads/2024/04/Screenshot-2024-04-17-at-4.08.18 AM.png)
![Flying with Photons: Rendering Novel Views of Propagating Light](https://compimaging.dgp.toronto.edu/wp-content/uploads/2024/04/Screenshot-2024-04-17-at-4.06.16 AM.png)
![4D-fy: Text-to-4D Generation Using Hybrid Score Distillation Sampling](https://compimaging.dgp.toronto.edu/wp-content/uploads/2024/04/Screenshot-2024-04-17-at-3.59.28 AM-e1713340809574.png)
![Three papers accepted to CVPR](https://compimaging.dgp.toronto.edu/wp-content/uploads/2024/04/Screenshot-2024-04-17-at-3.59.28 AM-e1713340809574.png)
Three papers accepted to CVPR
CVPR:4D-fy: Text-to-4D Generation Using Hybrid Score Distillation SamplingTurboSL: Dense, Accurate and Fast 3D by Neural Inverse Structured LightSCE-MAE: Selective Correspondence Enhancement with Masked Autoencoder for Self-Supervised Landmark Estimation
![Passive ultra-wideband single-photon imaging wins best paper award (Marr Prize) at ICCV 2023!](https://compimaging.dgp.toronto.edu/wp-content/uploads/2023/08/passive-ultrawideband-768x504.png)
Passive ultra-wideband single-photon imaging wins best paper award (Marr Prize) at ICCV 2023!
ICCV:Passive Ultra-Wideband Single-Photon Imaging
![Papers accepted to ICCV and NeurIPS](https://compimaging.dgp.toronto.edu/wp-content/uploads/2023/08/passive-ultrawideband-768x504.png)
Papers accepted to ICCV and NeurIPS
ICCV:Passive Ultra-Wideband Single-Photon Imaging NeurIPS:Transient Neural Radiance Fields for Lidar View Synthesis and 3D Reconstruction
![Transient Neural Radiance Fields for Lidar View Synthesis and 3D Reconstruction](https://compimaging.dgp.toronto.edu/wp-content/uploads/2023/10/arxiv2023malik-768x643.png)
![Passive Ultra-Wideband Single-Photon Imaging](https://compimaging.dgp.toronto.edu/wp-content/uploads/2023/08/passive-ultrawideband-768x504.png)
![Dual-Port CMOS Image Sensor with Regression-Based HDR Flux-to-Digital Conversion and 80ns Rapid-Update Pixel-Wise Exposure Coding](https://compimaging.dgp.toronto.edu/wp-content/uploads/2023/04/Screen-Shot-2023-04-18-at-2.32.43-PM.png)
![Paper accepted to ISSCC](https://compimaging.dgp.toronto.edu/wp-content/uploads/2023/04/Screen-Shot-2023-04-18-at-2.32.43-PM.png)
Paper accepted to ISSCC
ISSCC:Dual-Port CMOS Image Sensor with Regression-Based HDR Flux-to-Digital Conversion and 80ns Rapid-Update Pixel-Wise Exposure Coding