Michaël Gharbi

ORCID

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 52

Top Venues

Massachusetts Institute of Technology, Cambridge, USA (PHD)

Education History

Massachusetts Institute of Technology, Cambridge, USA

PHD

Publications

Tianwei Yin, Michaël Gharbi, Taesung Park, Richard Zhang, Eli Shechtman, Frédo Durand, William T. Freeman
Improved Distribution Matching Distillation for Fast Image Synthesis. CoRR (2024)
Yinbo Chen, Oliver Wang, Richard Zhang, Eli Shechtman, Xiaolong Wang, Michaël Gharbi
Image Neural Field Diffusion Models. CoRR (2024)
Jiteng Mu, Michaël Gharbi, Richard Zhang, Eli Shechtman, Nuno Vasconcelos, Xiaolong Wang, Taesung Park
Editable Image Elements for Controllable Synthesis. CoRR (2024)
James Hong, Lu Yuan, Michaël Gharbi, Matthew Fisher, Kayvon Fatahalian
Learning Subject-Aware Cropping by Outpainting Professional Photos. AAAI (2024)
Yotam Nitzan, Zongze Wu, Richard Zhang, Eli Shechtman, Daniel Cohen-Or, Taesung Park, Michaël Gharbi
Lazy Diffusion Transformer for Interactive Image Editing. CoRR (2024)
Hadi Alzayer, Zhihao Xia, Xuaner Zhang, Eli Shechtman, Jia-Bin Huang, Michaël Gharbi
Magic Fixup: Streamlining Photo Editing by Watching Dynamic Videos. CoRR (2024)
Yash Belhe, Michaël Gharbi, Matthew Fisher, Iliyan Georgiev, Ravi Ramamoorthi, Tzu-Mao Li
Discontinuity-Aware 2D Neural Fields. ACM Trans. Graph. 42 (6) (2023)
Goutam Bhat, Michaël Gharbi, Jiawen Chen, Luc Van Gool, Zhihao Xia
Self-Supervised Burst Super-Resolution. ICCV (2023)
Tianwei Yin, Michaël Gharbi, Richard Zhang, Eli Shechtman, Frédo Durand, William T. Freeman, Taesung Park
One-step Diffusion with Distribution Matching Distillation. CoRR (2023)
Yotam Nitzan, Michaël Gharbi, Richard Zhang, Taesung Park, Jun-Yan Zhu, Daniel Cohen-Or, Eli Shechtman
Domain Expansion of Image Generators. CVPR (2023)
Prafull Sharma, Julien Philip, Michaël Gharbi, William T. Freeman, Frédo Durand, Valentin Deschaintre
Materialistic: Selecting Similar Materials in Images. CoRR (2023)
Yotam Nitzan, Michaël Gharbi, Richard Zhang, Taesung Park, Jun-Yan Zhu, Daniel Cohen-Or, Eli Shechtman
Domain Expansion of Image Generators. CoRR (2023)
Ke Wang, Michaël Gharbi, He Zhang, Zhihao Xia, Eli Shechtman
Semi-Supervised Parametric Real-World Image Harmonization. CVPR (2023)
Ke Wang, Michaël Gharbi, He Zhang, Zhihao Xia, Eli Shechtman
Semi-supervised Parametric Real-world Image Harmonization. CoRR (2023)
James Hong, Lu Yuan, Michaël Gharbi, Matthew Fisher, Kayvon Fatahalian
Learning Subject-Aware Cropping by Outpainting Professional Photos. CoRR (2023)
Vikas Thamizharasan, Difan Liu, Shantanu Agarwal, Matthew Fisher, Michaël Gharbi, Oliver Wang, Alec Jacobson, Evangelos Kalogerakis
VecFusion: Vector Font Generation with Diffusion. CoRR (2023)
Prafull Sharma, Julien Philip, Michaël Gharbi, Bill Freeman, Frédo Durand, Valentin Deschaintre
Materialistic: Selecting Similar Materials in Images. ACM Trans. Graph. 42 (4) (2023)
Lucas Valença, Jinsong Zhang, Michaël Gharbi, Yannick Hold-Geoffroy, Jean-François Lalonde
Shadow Harmonization for Realistic Compositing. SIGGRAPH Asia (2023)
Lucy Chai, Michaël Gharbi, Eli Shechtman, Phillip Isola, Richard Zhang
Any-resolution Training for High-resolution Image Synthesis. CoRR (2022)
Karima Ma, Michaël Gharbi, Andrew Adams, Shoaib Kamil, Tzu-Mao Li, Connelly Barnes, Jonathan Ragan-Kelley
Searching for Fast Demosaicking Algorithms. ACM Trans. Graph. 41 (5) (2022)
Sai Praveen Bangaru, Michaël Gharbi, Tzu-Mao Li, Fujun Luan, Kalyan Sunkavalli, Milos Hasan, Sai Bi, Zexiang Xu, Gilbert Bernstein, Frédo Durand
Differentiable Rendering of Neural SDFs through Reparameterization. CoRR (2022)
James Hong, Haotian Zhang, Michaël Gharbi, Matthew Fisher, Kayvon Fatahalian
Spotting Temporally Precise, Fine-Grained Events in Video. CoRR (2022)
Lucy Chai, Michaël Gharbi, Eli Shechtman, Phillip Isola, Richard Zhang
Any-Resolution Training for High-Resolution Image Synthesis. ECCV (16) (2022)
Sai Praveen Bangaru, Michaël Gharbi, Fujun Luan, Tzu-Mao Li, Kalyan Sunkavalli, Milos Hasan, Sai Bi, Zexiang Xu, Gilbert Bernstein, Frédo Durand
Differentiable Rendering of Neural SDFs through Reparameterization. SIGGRAPH Asia (2022)
James Hong, Haotian Zhang, Michaël Gharbi, Matthew Fisher, Kayvon Fatahalian
Spotting Temporally Precise, Fine-Grained Events in Video. ECCV (35) (2022)
Zhihao Xia, Michaël Gharbi, Federico Perazzi, Kalyan Sunkavalli, Ayan Chakrabarti
Deep Denoising of Flash and No-Flash Pairs for Photography in Low-Light Environments. CVPR (2021)
James Hong, Matthew Fisher, Michaël Gharbi, Kayvon Fatahalian
Video Pose Distillation for Few-Shot, Fine-Grained Sports Action Recognition. ICCV (2021)
Pradyumna Reddy, Michaël Gharbi, Michal Lukác, Niloy J. Mitra
Im2Vec: Synthesizing Vector Graphics without Vector Supervision. CoRR (2021)
James Hong, Matthew Fisher, Michaël Gharbi, Kayvon Fatahalian
Video Pose Distillation for Few-Shot, Fine-Grained Sports Action Recognition. CoRR (2021)
Julien Philip, Sébastien Morgenthaler, Michaël Gharbi, George Drettakis
Free-viewpoint Indoor Neural Relighting from Multi-view Stereo. ACM Trans. Graph. 40 (5) (2021)
Pradyumna Reddy, Michaël Gharbi, Michal Lukác, Niloy J. Mitra
Im2Vec: Synthesizing Vector Graphics Without Vector Supervision. CVPR (2021)
Dmitriy Smirnov, Michaël Gharbi, Matthew Fisher, Vitor Guizilini, Alexei A. Efros, Justin M. Solomon
MarioNette: Self-Supervised Sprite Learning. NeurIPS (2021)
Julien Philip, Sébastien Morgenthaler, Michaël Gharbi, George Drettakis
Free-viewpoint Indoor Neural Relighting from Multi-view Stereo. CoRR (2021)
Tamar Rott Shaham, Michaël Gharbi, Richard Zhang, Eli Shechtman, Tomer Michaeli
Spatially-Adaptive Pixelwise Networks for Fast Image Translation. CVPR (2021)
Mustafa Isik, Krishna Mullia, Matthew Fisher, Jonathan Eisenmann, Michaël Gharbi
Interactive Monte Carlo denoising using affinity of neural features. ACM Trans. Graph. 40 (4) (2021)
Ishit Mehta, Michaël Gharbi, Connelly Barnes, Eli Shechtman, Ravi Ramamoorthi, Manmohan Chandraker
Modulated Periodic Activations for Generalizable Local Functional Representations. ICCV (2021)
Ishit Mehta, Michaël Gharbi, Connelly Barnes, Eli Shechtman, Ravi Ramamoorthi, Manmohan Chandraker
Modulated Periodic Activations for Generalizable Local Functional Representations. CoRR (2021)
Dmitriy Smirnov, Michaël Gharbi, Matthew Fisher, Vitor Guizilini, Alexei A. Efros, Justin Solomon
MarioNette: Self-Supervised Sprite Learning. CoRR (2021)
Zhihao Xia, Federico Perazzi, Michaël Gharbi, Kalyan Sunkavalli, Ayan Chakrabarti
Basis Prediction Networks for Effective Burst Denoising With Large Kernels. CVPR (2020)
Zhihao Xia, Michaël Gharbi, Federico Perazzi, Kalyan Sunkavalli, Ayan Chakrabarti
Deep Denoising of Flash and No-Flash Pairs for Photography in Low-Light Environments. CoRR (2020)
Tamar Rott Shaham, Michaël Gharbi, Richard Zhang, Eli Shechtman, Tomer Michaeli
Spatially-Adaptive Pixelwise Networks for Fast Image Translation. CoRR (2020)
Tzu-Mao Li, Michal Lukác, Michaël Gharbi, Jonathan Ragan-Kelley
Differentiable vector graphics rasterization for editing and learning. ACM Trans. Graph. 39 (6) (2020)
Lukas Murmann, Michaël Gharbi, Miika Aittala, Frédo Durand
A Dataset of Multi-Illumination Images in the Wild. ICCV (2019)
Zhihao Xia, Federico Perazzi, Michaël Gharbi, Kalyan Sunkavalli, Ayan Chakrabarti
Basis Prediction Networks for Effective Burst Denoising with Large Kernels. CoRR (2019)
Lukas Murmann, Michaël Gharbi, Miika Aittala, Frédo Durand
A Dataset of Multi-Illumination Images in the Wild. CoRR (2019)
Michaël Gharbi, Tzu-Mao Li, Miika Aittala, Jaakko Lehtinen, Frédo Durand
Sample-based Monte Carlo denoising using a kernel-splatting network. ACM Trans. Graph. 38 (4) (2019)
Andrew Adams, Karima Ma, Luke Anderson, Riyadh Baghdadi, Tzu-Mao Li, Michaël Gharbi, Benoit Steiner, Steven Johnson, Kayvon Fatahalian, Frédo Durand, Jonathan Ragan-Kelley
Learning to optimize halide with tree search and random programs. ACM Trans. Graph. 38 (4) (2019)
Julien Philip, Michaël Gharbi, Tinghui Zhou, Alexei A. Efros, George Drettakis
Multi-view relighting using a geometry-aware network. ACM Trans. Graph. 38 (4) (2019)
Tzu-Mao Li, Michaël Gharbi, Andrew Adams, Frédo Durand, Jonathan Ragan-Kelley
Differentiable programming for image processing and deep learning in halide. ACM Trans. Graph. 37 (4) (2018)
Michaël Gharbi, Jiawen Chen, Jonathan T. Barron, Samuel W. Hasinoff, Frédo Durand
Deep Bilateral Learning for Real-Time Image Enhancement. CoRR (2017)
Michaël Gharbi, Jiawen Chen, Jonathan T. Barron, Samuel W. Hasinoff, Frédo Durand
Deep bilateral learning for real-time image enhancement. ACM Trans. Graph. 36 (4) (2017)
Michaël Gharbi, Gaurav Chaurasia, Sylvain Paris, Frédo Durand
Deep joint demosaicking and denoising. ACM Trans. Graph. 35 (6) (2016)
Michaël Gharbi, Yi-Chang Shih, Gaurav Chaurasia, Jonathan Ragan-Kelley, Sylvain Paris, Frédo Durand
Transform recipes for efficient cloud photo enhancement. ACM Trans. Graph. 34 (6) (2015)

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Publication Activity (10 Years)

Top Topics

Top Venues

Michaël Gharbi