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Found 10 papers, 1 papers with code
Disambiguating Monocular Depth Estimation with a Single Transient
Monocular depth estimation algorithms successfully predict the relative depth order of objects in a scene.
CodedVO: Coded Visual Odometry
In this paper, we present CodedVO, a novel monocular visual odometry method that overcomes the scale ambiguity problem by employing custom optics to physically encode metric depth information into imagery.
CodedEvents: Optimal Point-Spread-Function Engineering for 3D-Tracking with Event Cameras
We then demonstrate that existing designs are sub-optimal for tracking moving point sources and proceed to use our theory to design optimal phase masks and binary amplitude masks for this task.
Z-Splat: Z-Axis Gaussian Splatting for Camera-Sonar Fusion
In this manuscript, we demonstrate that using transient data (from sonars) allows us to address the missing cone problem by sampling high-frequency data along the depth axis.
TimeRewind: Rewinding Time with Image-and-Events Video Diffusion
Through extensive experimentation, we demonstrate the capability of our approach to synthesize high-quality videos that effectively ``rewind'' time, showcasing the potential of combining event camera technology with generative models.
ConVRT: Consistent Video Restoration Through Turbulence with Test-time Optimization of Neural Video Representations
tmospheric turbulence presents a significant challenge in long-range imaging.
A Scalable Training Strategy for Blind Multi-Distribution Noise Removal
Our work improves upon a recently proposed universal denoiser training strategy by extending these results to higher dimensions and by incorporating a polynomial approximation of the true specification-loss landscape.
Snapshot High Dynamic Range Imaging with a Polarization Camera
By placing a linear polarizer in front of the polarization camera, we are able to simultaneously capture four images with varied exposures, which are determined by the orientation of the polarizer.
Seeing the World through Your Eyes
The reflective nature of the human eye is an underappreciated source of information about what the world around us looks like.
Matching Plug-and-Play Algorithms to the Denoiser
To solve inverse problems, plug-and-play (PnP) methods have been developed that replace the proximal step in a convex optimization algorithm with a call to an application-specific denoiser, often implemented using a deep neural network (DNN).
