47 citations · 130 across the 16 of their papers we have counts for
8 papers · 1 filter
A second-order theory of texture for depth from focus
Sreekar Ranganathan, Ioannis Gkioulekas
We present a theory of textured appearance of optically rough surfaces based on wave optics, emphasizing the role of texture for passive depth from focus. Our theory shows that eve…
NOVA: NOvel View Augmentation for Neural Composition of Dynamic Objects
Dakshit Agrawal, Jiajie Xu, Siva Karthik Mustikovela +3
We propose a novel-view augmentation (NOVA) strategy to train NeRFs for photo-realistic 3D composition of dynamic objects in a static scene. Compared to prior work, our framework s…
Passive Micron-scale Time-of-Flight with Sunlight Interferometry
Alankar Kotwal, Anat Levin, Ioannis Gkioulekas
We introduce an interferometric technique for passive time-of-flight imaging and depth sensing at micrometer axial resolutions. Our technique uses a full-field Michelson interferom…
Neural Implicit Surface Reconstruction using Imaging Sonar
Mohamad Qadri, Michael Kaess, Ioannis Gkioulekas
We present a technique for dense 3D reconstruction of objects using an imaging sonar, also known as forward-looking sonar (FLS). Compared to previous methods that model the scene g…
Swept-Angle Synthetic Wavelength Interferometry
Alankar Kotwal, Anat Levin, Ioannis Gkioulekas
We present a new imaging technique, swept-angle synthetic wavelength interferometry, for full-field micron-scale 3D sensing. As in conventional synthetic wavelength interferometry,…
Adaptive Gating for Single-Photon 3D Imaging
Ryan Po, Adithya Pediredla, Ioannis Gkioulekas
Single-photon avalanche diodes (SPADs) are growing in popularity for depth sensing tasks. However, SPADs still struggle in the presence of high ambient light due to the effects of…
Defocus Map Estimation and Deblurring from a Single Dual-Pixel Image
Shumian Xin, Neal Wadhwa, Tianfan Xue +5
We present a method that takes as input a single dual-pixel image, and simultaneously estimates the image's defocus map -- the amount of defocus blur at each pixel -- and recovers…
Inverse Transport Networks
Chengqian Che, Fujun Luan, Shuang Zhao +2
We introduce inverse transport networks as a learning architecture for inverse rendering problems where, given input image measurements, we seek to infer physical scene parameters…