89 citations · 271 across the 16 of their papers we have counts for
13 papers · 1 filter
Polarization Multi-Image Synthesis with Birefringent Metasurfaces
Dean Hazineh, Soon Wei Daniel Lim, Qi Guo +2
Optical metasurfaces composed of precisely engineered nanostructures have gained significant attention for their ability to manipulate light and implement distinct functionalities…
Ref-NeRF: Structured View-Dependent Appearance for Neural Radiance Fields
Dor Verbin, Peter Hedman, Ben Mildenhall +3
Neural Radiance Fields (NeRF) is a popular view synthesis technique that represents a scene as a continuous volumetric function, parameterized by multilayer perceptrons that provid…
Level Set Binocular Stereo with Occlusions
Jialiang Wang, Todd Zickler
Localizing stereo boundaries and predicting nearby disparities are difficult because stereo boundaries induce occluded regions where matching cues are absent. Most modern computer…
Field of Junctions: Extracting Boundary Structure at Low SNR
Dor Verbin, Todd Zickler
We introduce a bottom-up model for simultaneously finding many boundary elements in an image, including contours, corners and junctions. The model explains boundary shape in each s…
Level Set Stereo for Cooperative Grouping with Occlusion
Jialiang Wang, Todd Zickler
Localizing stereo boundaries is difficult because matching cues are absent in the occluded regions that are adjacent to them. We introduce an energy and level-set optimizer that im…
Unique Geometry and Texture from Corresponding Image Patches
Dor Verbin, Steven J. Gortler, Todd Zickler
We present a sufficient condition for recovering unique texture and viewpoints from unknown orthographic projections of a flat texture process. We show that four observations are s…
Tackling 3D ToF Artifacts Through Learning and the FLAT Dataset
Qi Guo, Iuri Frosio, Orazio Gallo +2
Scene motion, multiple reflections, and sensor noise introduce artifacts in the depth reconstruction performed by time-of-flight cameras. We propose a two-stage, deep-learning appr…
Understanding Symmetric Smoothing Filters: A Gaussian Mixture Model Perspective
Stanley H. Chan, Todd Zickler, Yue M. Lu
Many patch-based image denoising algorithms can be formulated as applying a smoothing filter to the noisy image. Expressed as matrices, the smoothing filters must be row normalized…
Low-level Vision by Consensus in a Spatial Hierarchy of Regions
Ayan Chakrabarti, Ying Xiong, Steven J. Gortler +1
We introduce a multi-scale framework for low-level vision, where the goal is estimating physical scene values from image data---such as depth from stereo image pairs. The framework…
Monte Carlo non local means: Random sampling for large-scale image filtering
Stanley H. Chan, Todd Zickler, Yue M. Lu
We propose a randomized version of the non-local means (NLM) algorithm for large-scale image filtering. The new algorithm, called Monte Carlo non-local means (MCNLM), speeds up the…
Modeling Radiometric Uncertainty for Vision with Tone-mapped Color Images
Ayan Chakrabarti, Ying Xiong, Baochen Sun +4
To produce images that are suitable for display, tone-mapping is widely used in digital cameras to map linear color measurements into narrow gamuts with limited dynamic range. This…
From Shading to Local Shape
Ying Xiong, Ayan Chakrabarti, Ronen Basri +3
We develop a framework for extracting a concise representation of the shape information available from diffuse shading in a small image patch. This produces a mid-level scene descr…
Image Restoration with Signal-dependent Camera Noise
Ayan Chakrabarti, Todd Zickler
This article describes a fast iterative algorithm for image denoising and deconvolution with signal-dependent observation noise. We use an optimization strategy based on variable s…