activity
20192023
most citedLearning Perspective Undistortion of Portraits

6 citations · 15 across the 5 of their papers we have counts for

collaborators

7 papers

cs.GR2023

Magenta Green Screen: Spectrally Multiplexed Alpha Matting with Deep Colorization

Dmitriy Smirnov, Chloe LeGendre, Xueming Yu +1

We introduce Magenta Green Screen, a novel machine learning--enabled matting technique for recording the color image of a foreground actor and a simultaneous high-quality alpha cha…

cs.CV2022★ 5 cited

Jointly Optimizing Color Rendition and In-Camera Backgrounds in an RGB Virtual Production Stage

Chloe LeGendre, Lukas Lepicovsky, Paul Debevec

While the LED panels used in virtual production systems can display vibrant imagery with a wide color gamut, they produce problematic color shifts when used as lighting due to thei…

cs.GR2022

HDR Lighting Dilation for Dynamic Range Reduction on Virtual Production Stages

Paul Debevec, Chloe LeGendre

We present a technique to reduce the dynamic range of an HDRI lighting environment map in an efficient, energy-preserving manner by spreading out the light of concentrated light so…

cs.CV2020

Cross-Camera Convolutional Color Constancy

Mahmoud Afifi, Jonathan T. Barron, Chloe LeGendre +2

We present "Cross-Camera Convolutional Color Constancy" (C5), a learning-based method, trained on images from multiple cameras, that accurately estimates a scene's illuminant color…

cs.CV2020

Learning Illumination from Diverse Portraits

Chloe LeGendre, Wan-Chun Ma, Rohit Pandey +5

We present a learning-based technique for estimating high dynamic range (HDR), omnidirectional illumination from a single low dynamic range (LDR) portrait image captured under arbi…

cs.CV2019★ 6 cited

Learning Perspective Undistortion of Portraits

Yajie Zhao, Zeng Huang, Tianye Li +6

Near-range portrait photographs often contain perspective distortion artifacts that bias human perception and challenge both facial recognition and reconstruction techniques. We pr…

cs.CV2019★ 4 cited

DeepLight: Learning Illumination for Unconstrained Mobile Mixed Reality

Chloe LeGendre, Wan-Chun Ma, Graham Fyffe +4

We present a learning-based method to infer plausible high dynamic range (HDR), omnidirectional illumination given an unconstrained, low dynamic range (LDR) image from a mobile pho…