127 citations · 229 across the 11 of their papers we have counts for
12 papers
Self-Calibrating, Fully Differentiable NLOS Inverse Rendering
Kiseok Choi, Inchul Kim, Dongyoung Choi +3
Existing time-resolved non-line-of-sight (NLOS) imaging methods reconstruct hidden scenes by inverting the optical paths of indirect illumination measured at visible relay surfaces…
Progressively Optimized Local Radiance Fields for Robust View Synthesis
Andreas Meuleman, Yu-Lun Liu, Chen Gao +4
We present an algorithm for reconstructing the radiance field of a large-scale scene from a single casually captured video. The task poses two core challenges. First, most existing…
Asymptotic behaviors of a kinetic approach to the collective dynamics of a rock-paper-scissors binary game
Hugo Martin
This article studies the kinetic dynamics of the rock-paper-scissors binary game in a measure setting given by a non local and non linear integrodifferential equation. After provin…
Sparse Ellipsometry: Portable Acquisition of Polarimetric SVBRDF and Shape with Unstructured Flash Photography
Inseung Hwang, Daniel S. Jeon, Adolfo Muñoz +3
Ellipsometry techniques allow to measure polarization information of materials, requiring precise rotations of optical components with different configurations of lights and sensor…
DeepFormableTag: End-to-end Generation and Recognition of Deformable Fiducial Markers
Mustafa B. Yaldiz, Andreas Meuleman, Hyeonjoong Jang +2
Fiducial markers have been broadly used to identify objects or embed messages that can be detected by a camera. Primarily, existing detection methods assume that markers are printe…
Differentiable Transient Rendering
Shinyoung Yi, Donggun Kim, Kiseok Choi +3
Recent differentiable rendering techniques have become key tools to tackle many inverse problems in graphics and vision. Existing models, however, assume steady-state light transpo…
Edge-aware Bidirectional Diffusion for Dense Depth Estimation from Light Fields
Numair Khan, Min H. Kim, James Tompkin
We present an algorithm to estimate fast and accurate depth maps from light fields via a sparse set of depth edges and gradients. Our proposed approach is based around the idea tha…
Differentiable Diffusion for Dense Depth Estimation from Multi-view Images
Numair Khan, Min H. Kim, James Tompkin
We present a method to estimate dense depth by optimizing a sparse set of points such that their diffusion into a depth map minimizes a multi-view reprojection error from RGB super…
View-consistent 4D Light Field Depth Estimation
Numair Khan, Min H. Kim, James Tompkin
We propose a method to compute depth maps for every sub-aperture image in a light field in a view consistent way. Previous light field depth estimation methods typically estimate a…
Single-shot Hyperspectral-Depth Imaging with Learned Diffractive Optics
Seung-Hwan Baek, Hayato Ikoma, Daniel S. Jeon +4
Imaging depth and spectrum have been extensively studied in isolation from each other for decades. Recently, hyperspectral-depth (HS-D) imaging emerges to capture both information…
Extreme View Synthesis
Inchang Choi, Orazio Gallo, Alejandro Troccoli +2
We present Extreme View Synthesis, a solution for novel view extrapolation that works even when the number of input images is small--as few as two. In this context, occlusions and…
DeepToF: Off-the-Shelf Real-Time Correction of Multipath Interference in Time-of-Flight Imaging
Julio Marco, Quercus Hernandez, Adolfo Muñoz +5
Time-of-flight (ToF) imaging has become a widespread technique for depth estimation, allowing affordable off-the-shelf cameras to provide depth maps in real time. However, multipat…