Chloe LeGendre
Chloe LeGendre
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Cited by
Cited by
Deeplight: Learning illumination for unconstrained mobile mixed reality
C LeGendre, WC Ma, G Fyffe, J Flynn, L Charbonnel, J Busch, P Debevec
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019
Deep Volumetric Video From Very Sparse Multi-View Performance Capture
Z Huang, T Li, W Chen, Y Zhao, J Xing, C LeGendre, L Luo, C Ma, H Li
Proceedings of the European Conference on Computer Vision (ECCV), 336-354, 2018
Total relighting: learning to relight portraits for background replacement.
R Pandey, S Orts-Escolano, C Legendre, C Haene, S Bouaziz, ...
ACM Trans. Graph. 40 (4), 43:1-43:21, 2021
Deep relightable textures: volumetric performance capture with neural rendering
A Meka, R Pandey, C Haene, S Orts-Escolano, P Barnum, P David-Son, ...
ACM Transactions on Graphics (TOG) 39 (6), 1-21, 2020
Cross-camera convolutional color constancy
M Afifi, JT Barron, C LeGendre, YT Tsai, F Bleibel
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021
Practical multispectral lighting reproduction
C LeGendre, X Yu, D Liu, J Busch, A Jones, S Pattanaik, P Debevec
ACM Transactions on Graphics (TOG) 35 (4), 1-11, 2016
Learning Illumination from Diverse Portraits
C LeGendre, WC Ma, R Pandey, S Fanello, C Rhemann, J Dourgarian, ...
SIGGRAPH Asia 2020 Technical Communications, 1-4, 2020
Learning perspective undistortion of portraits
Y Zhao, Z Huang, T Li, W Chen, C LeGendre, X Ren, A Shapiro, H Li
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019
High-resolution stereo matching based on sampled photoconsistency computation
C LeGendre, K Batsos, P Mordohai
British Machine Vision Conference, 2017
Multispectral lighting reproduction
PE Debevec, C Legendre, S Pattanaik
US Patent 10,375,264, 2019
A cinematographic spectral similarity index
J Holm, T Maier, P Debevec, C LeGendre, J Pines, J Erland, G Joblove, ...
SMPTE 2016 Annual Technical Conference and Exhibition, 1-36, 2016
Systems and methods for measuring spectra of skin and other objects and materials and making predictions based thereon
G Balooch, CA Legendre, WD Jung, RW Jung, WW Sloan, P Patel, ...
US Patent 9,924,778, 2018
Optimal LED selection for multispectral lighting reproduction
C LeGendre, X Yu, P Debevec
ACM SIGGRAPH 2016 Posters, 72, 2016
Lighting for inserted content
I Neulander, C Legendre, P Debevec
US Patent 10,922,878, 2021
Modeling vellus facial hair from asperity scattering silhouettes
C LeGendre, L Hyunh, S Wang, P Debevec
ACM SIGGRAPH 2017 Talks, 1-2, 2017
Anaerobic fermentation of glycerol to ethanol
C LeGendre, E Logan, J Mendel, T Seedial
Senior Design Report, University of Pensylvinia, 2009
Learning illumination from diverse portraits
C Legendre, P Debevec, WC Ma, R Pandey, SRF Fanello, C Tong
US Patent App. 17/309,171, 2022
Jointly Optimizing Color Rendition and In-Camera Backgrounds in an RGB Virtual Production Stage
C LeGendre, L Lepicovsky, P Debevec
The Digital Production Symposium, 1-12, 2022
Efficient multispectral facial capture with monochrome cameras
C LeGendre, K Bladin, B Kishore, X Ren, X Yu, P Debevec
Color and Imaging Conference 2018 (1), 187-202, 2018
Maximizing the spread of sexual health information in a multimodal communication network of young Black women
E Bondi, J Craddock, R Funke, C LeGendre, V Tiwari
Artificial Intelligence and Social Work; Cambridge University Press …, 2018
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