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ORCIDMichaël Gharbi
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2020 – today
- 2024
[c21]James Hong, Lu Yuan, Michaël Gharbi, Matthew Fisher, Kayvon Fatahalian:
Learning Subject-Aware Cropping by Outpainting Professional Photos. AAAI 2024: 2175-2183- [c20]Tianwei Yin, Michaël Gharbi, Richard Zhang, Eli Shechtman, Frédo Durand, William T. Freeman, Taesung Park:
One-Step Diffusion with Distribution Matching Distillation. CVPR 2024: 6613-6623 - [c19]Vikas Thamizharasan, Difan Liu, Shantanu Agarwal, Matthew Fisher, Michaël Gharbi, Oliver Wang, Alec Jacobson, Evangelos Kalogerakis:
VecFusion: Vector Font Generation with Diffusion. CVPR 2024: 7943-7952 - [c18]Yinbo Chen, Oliver Wang, Richard Zhang, Eli Shechtman, Xiaolong Wang, Michaël Gharbi:
Image Neural Field Diffusion Models. CVPR 2024: 8007-8017 - [c17]Jiteng Mu, Michaël Gharbi, Richard Zhang, Eli Shechtman, Nuno Vasconcelos, Xiaolong Wang, Taesung Park:
Editable Image Elements for Controllable Synthesis. ECCV (2) 2024: 39-56 - [c16]Yotam Nitzan, Zongze Wu, Richard Zhang, Eli Shechtman, Daniel Cohen-Or, Taesung Park, Michaël Gharbi:
Lazy Diffusion Transformer for Interactive Image Editing. ECCV (24) 2024: 55-72 - [i24]Hadi Alzayer, Zhihao Xia, Xuaner Zhang, Eli Shechtman, Jia-Bin Huang, Michaël Gharbi:
Magic Fixup: Streamlining Photo Editing by Watching Dynamic Videos. CoRR abs/2403.13044 (2024) - [i23]Yotam Nitzan, Zongze Wu, Richard Zhang, Eli Shechtman, Daniel Cohen-Or, Taesung Park, Michaël Gharbi:
Lazy Diffusion Transformer for Interactive Image Editing. CoRR abs/2404.12382 (2024) - [i22]Jiteng Mu, Michaël Gharbi, Richard Zhang, Eli Shechtman, Nuno Vasconcelos, Xiaolong Wang, Taesung Park:
Editable Image Elements for Controllable Synthesis. CoRR abs/2404.16029 (2024) - [i21]Tianwei Yin, Michaël Gharbi, Taesung Park, Richard Zhang, Eli Shechtman, Frédo Durand, William T. Freeman:
Improved Distribution Matching Distillation for Fast Image Synthesis. CoRR abs/2405.14867 (2024) - [i20]Yinbo Chen, Oliver Wang, Richard Zhang, Eli Shechtman, Xiaolong Wang, Michaël Gharbi:
Image Neural Field Diffusion Models. CoRR abs/2406.07480 (2024) - 2023
- [j13]Prafull Sharma
, Julien Philip, Michaël Gharbi, Bill Freeman, Frédo Durand, Valentin Deschaintre:
Materialistic: Selecting Similar Materials in Images. ACM Trans. Graph. 42(4): 154:1-154:14 (2023) - [j12]Yash Belhe, Michaël Gharbi, Matthew Fisher, Iliyan Georgiev, Ravi Ramamoorthi, Tzu-Mao Li:
Discontinuity-Aware 2D Neural Fields. ACM Trans. Graph. 42(6): 217:1-217:11 (2023) - [c15]Ke Wang, Michaël Gharbi, He Zhang, Zhihao Xia, Eli Shechtman:
Semi-Supervised Parametric Real-World Image Harmonization. CVPR 2023: 5927-5936 - [c14]Yotam Nitzan, Michaël Gharbi, Richard Zhang, Taesung Park, Jun-Yan Zhu, Daniel Cohen-Or, Eli Shechtman:
Domain Expansion of Image Generators. CVPR 2023: 15933-15942 - [c13]Goutam Bhat, Michaël Gharbi, Jiawen Chen, Luc Van Gool, Zhihao Xia:
Self-Supervised Burst Super-Resolution. ICCV 2023: 10571-10580 - [c12]Lucas Valença, Jinsong Zhang, Michaël Gharbi, Yannick Hold-Geoffroy, Jean-François Lalonde:
Shadow Harmonization for Realistic Compositing. SIGGRAPH Asia 2023: 32:1-32:12 - [i19]Yotam Nitzan, Michaël Gharbi, Richard Zhang, Taesung Park, Jun-Yan Zhu, Daniel Cohen-Or, Eli Shechtman:
Domain Expansion of Image Generators. CoRR abs/2301.05225 (2023) - [i18]Ke Wang, Michaël Gharbi, He Zhang, Zhihao Xia, Eli Shechtman:
Semi-supervised Parametric Real-world Image Harmonization. CoRR abs/2303.00157 (2023) - [i17]Prafull Sharma, Julien Philip, Michaël Gharbi, William T. Freeman, Frédo Durand, Valentin Deschaintre:
Materialistic: Selecting Similar Materials in Images. CoRR abs/2305.13291 (2023) - [i16]Tianwei Yin, Michaël Gharbi, Richard Zhang, Eli Shechtman, Frédo Durand, William T. Freeman, Taesung Park:
One-step Diffusion with Distribution Matching Distillation. CoRR abs/2311.18828 (2023) - [i15]Vikas Thamizharasan, Difan Liu, Shantanu Agarwal, Matthew Fisher, Michaël Gharbi, Oliver Wang, Alec Jacobson, Evangelos Kalogerakis:
VecFusion: Vector Font Generation with Diffusion. CoRR abs/2312.10540 (2023) - [i14]James Hong, Lu Yuan, Michaël Gharbi, Matthew Fisher, Kayvon Fatahalian:
Learning Subject-Aware Cropping by Outpainting Professional Photos. CoRR abs/2312.12080 (2023) - 2022
- [j11]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): 172:1-172:18 (2022) - [c11]James Hong, Haotian Zhang, Michaël Gharbi, Matthew Fisher, Kayvon Fatahalian:
Spotting Temporally Precise, Fine-Grained Events in Video. ECCV (35) 2022: 33-51 - [c10]Lucy Chai, Michaël Gharbi, Eli Shechtman, Phillip Isola, Richard Zhang:
Any-Resolution Training for High-Resolution Image Synthesis. ECCV (16) 2022: 170-188 - [c9]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: 5:1-5:9 - [i13]Lucy Chai, Michaël Gharbi, Eli Shechtman, Phillip Isola, Richard Zhang:
Any-resolution Training for High-resolution Image Synthesis. CoRR abs/2204.07156 (2022) - [i12]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 abs/2206.05344 (2022) - [i11]James Hong, Haotian Zhang, Michaël Gharbi, Matthew Fisher, Kayvon Fatahalian:
Spotting Temporally Precise, Fine-Grained Events in Video. CoRR abs/2207.10213 (2022) - 2021
- [j10]Mustafa Isik, Krishna Mullia, Matthew Fisher, Jonathan Eisenmann, Michaël Gharbi:
Interactive Monte Carlo denoising using affinity of neural features. ACM Trans. Graph. 40(4): 37:1-37:13 (2021) - [j9]Julien Philip, Sébastien Morgenthaler, Michaël Gharbi, George Drettakis:
Free-viewpoint Indoor Neural Relighting from Multi-view Stereo. ACM Trans. Graph. 40(5): 194:1-194:18 (2021) - [c8]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: 2063-2072 - [c7]Pradyumna Reddy, Michaël Gharbi, Michal Lukác, Niloy J. Mitra:
Im2Vec: Synthesizing Vector Graphics Without Vector Supervision. CVPR 2021: 7342-7351 - [c6]Tamar Rott Shaham, Michaël Gharbi, Richard Zhang, Eli Shechtman, Tomer Michaeli:
Spatially-Adaptive Pixelwise Networks for Fast Image Translation. CVPR 2021: 14882-14891 - [c5]James Hong, Matthew Fisher, Michaël Gharbi, Kayvon Fatahalian:
Video Pose Distillation for Few-Shot, Fine-Grained Sports Action Recognition. ICCV 2021: 9234-9243 - [c4]Ishit Mehta, Michaël Gharbi, Connelly Barnes, Eli Shechtman, Ravi Ramamoorthi, Manmohan Chandraker:
Modulated Periodic Activations for Generalizable Local Functional Representations. ICCV 2021: 14194-14203 - [c3]Dmitriy Smirnov, Michaël Gharbi, Matthew Fisher, Vitor Guizilini, Alexei A. Efros, Justin M. Solomon:
MarioNette: Self-Supervised Sprite Learning. NeurIPS 2021: 5494-5505 - [i10]Pradyumna Reddy, Michaël Gharbi, Michal Lukác, Niloy J. Mitra:
Im2Vec: Synthesizing Vector Graphics without Vector Supervision. CoRR abs/2102.02798 (2021) - [i9]Ishit Mehta, Michaël Gharbi, Connelly Barnes, Eli Shechtman, Ravi Ramamoorthi, Manmohan Chandraker:
Modulated Periodic Activations for Generalizable Local Functional Representations. CoRR abs/2104.03960 (2021) - [i8]Dmitriy Smirnov, Michaël Gharbi, Matthew Fisher, Vitor Guizilini, Alexei A. Efros, Justin Solomon:
MarioNette: Self-Supervised Sprite Learning. CoRR abs/2104.14553 (2021) - [i7]Julien Philip, Sébastien Morgenthaler, Michaël Gharbi, George Drettakis:
Free-viewpoint Indoor Neural Relighting from Multi-view Stereo. CoRR abs/2106.13299 (2021) - [i6]James Hong, Matthew Fisher, Michaël Gharbi, Kayvon Fatahalian:
Video Pose Distillation for Few-Shot, Fine-Grained Sports Action Recognition. CoRR abs/2109.01305 (2021) - 2020
- [j8]Tzu-Mao Li, Michal Lukác, Michaël Gharbi, Jonathan Ragan-Kelley:
Differentiable vector graphics rasterization for editing and learning. ACM Trans. Graph. 39(6): 193:1-193:15 (2020) - [c2]Zhihao Xia, Federico Perazzi, Michaël Gharbi, Kalyan Sunkavalli, Ayan Chakrabarti:
Basis Prediction Networks for Effective Burst Denoising With Large Kernels. CVPR 2020: 11841-11850 - [i5]Tamar Rott Shaham, Michaël Gharbi, Richard Zhang, Eli Shechtman, Tomer Michaeli:
Spatially-Adaptive Pixelwise Networks for Fast Image Translation. CoRR abs/2012.02992 (2020) - [i4]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 abs/2012.05116 (2020)
2010 – 2019
- 2019
- [j7]Julien Philip, Michaël Gharbi, Tinghui Zhou, Alexei A. Efros, George Drettakis:
Multi-view relighting using a geometry-aware network. ACM Trans. Graph. 38(4): 78:1-78:14 (2019) - [j6]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): 121:1-121:12 (2019) - [j5]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): 125:1-125:12 (2019) - [c1]Lukas Murmann, Michaël Gharbi, Miika Aittala, Frédo Durand:
A Dataset of Multi-Illumination Images in the Wild. ICCV 2019: 4079-4088 - [i3]Lukas Murmann, Michaël Gharbi, Miika Aittala, Frédo Durand:
A Dataset of Multi-Illumination Images in the Wild. CoRR abs/1910.08131 (2019) - [i2]Zhihao Xia, Federico Perazzi, Michaël Gharbi, Kalyan Sunkavalli, Ayan Chakrabarti:
Basis Prediction Networks for Effective Burst Denoising with Large Kernels. CoRR abs/1912.04421 (2019) - 2018
- [b1]Michaël Gharbi:
Learning efficient image processing pipelines. Massachusetts Institute of Technology, Cambridge, USA, 2018 - [j4]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): 139 (2018) - 2017
- [j3]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): 118:1-118:12 (2017) - [i1]Michaël Gharbi, Jiawen Chen, Jonathan T. Barron, Samuel W. Hasinoff, Frédo Durand:
Deep Bilateral Learning for Real-Time Image Enhancement. CoRR abs/1707.02880 (2017) - 2016
- [j2]Michaël Gharbi, Gaurav Chaurasia, Sylvain Paris, Frédo Durand:
Deep joint demosaicking and denoising. ACM Trans. Graph. 35(6): 191:1-191:12 (2016) - 2015
- [j1]Michaël Gharbi, Yichang Shih, Gaurav Chaurasia, Jonathan Ragan-Kelley, Sylvain Paris, Frédo Durand:
Transform recipes for efficient cloud photo enhancement. ACM Trans. Graph. 34(6): 228:1-228:12 (2015)
Coauthor Index
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