47 citations · 130 across the 16 of their papers we have counts for
16 papers
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…
Boundary Value Caching for Walk on Spheres
Bailey Miller, Rohan Sawhney, Keenan Crane +1
Grid-free Monte Carlo methods such as walk on spheres can be used to solve elliptic partial differential equations without mesh generation or global solves. However, such methods i…
Walk on Stars: A Grid-Free Monte Carlo Method for PDEs with Neumann Boundary Conditions
Rohan Sawhney, Bailey Miller, Ioannis Gkioulekas +1
Grid-free Monte Carlo methods based on the walk on spheres (WoS) algorithm solve fundamental partial differential equations (PDEs) like the Poisson equation without discretizing th…
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…
Fluorescent wavefront shaping using incoherent iterative phase conjugation
Dror Aizik, Ioannis Gkioulekas, Anat Levin
Wavefront shaping correction makes it possible to image fluorescent particles deep inside scattering tissue. This requires determining a correction mask to be placed in both excita…
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,…
Physics-Based Inverse Rendering using Combined Implicit and Explicit Geometries
Guangyan Cai, Kai Yan, Zhao Dong +2
Mathematically representing the shape of an object is a key ingredient for solving inverse rendering problems. Explicit representations like meshes are efficient to render in a dif…
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…
Trilateration using Unlabeled Path or Loop Lengths
Ioannis Gkioulekas, Steven J. Gortler, Louis Theran +1
Let be a configuration of points in for some and some . Each pair of points defines an edge, which has a Euclideanlength in the configu…
Linear Symmetries of the Unsquared Measurement Variety
Ioannis Gkioulekas, Steven J. Gortler, Louis Theran +1
We introduce a new family of algebraic varieties, , which we call the unsquared measurement varieties. This family is parameterized by a number of points and a dimensi…
A Monte Carlo Framework for Rendering Speckle Statistics in Scattering Media
Chen Bar, Marina Alterman, Ioannis Gkioulekas +1
We present a Monte Carlo rendering framework for the physically-accurate simulation of speckle patterns arising from volumetric scattering of coherent waves. These noise-like patte…
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…
Determining Generic Point Configurations From Unlabeled Path or Loop Lengths
Ioannis Gkioulekas, Steven J. Gortler, Louis Theran +1
Let be a configuration of points in for some and some . Each pair of points defines an edge, which has a Euclidean length in the config…