Michaël Gharbi

According to our database, Michaël Gharbi authored at least 37 papers between 2015 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Improved Distribution Matching Distillation for Fast Image Synthesis.

Tianwei Yin, Michaël Gharbi, Taesung Park, Richard Zhang, Eli Shechtman, Frédo Durand, William T. Freeman

CoRR, 2024

Magic Fixup: Streamlining Photo Editing by Watching Dynamic Videos.

Hadi Alzayer, Zhihao Xia, Xuaner Zhang, Eli Shechtman, Jia-Bin Huang, Michaël Gharbi

CoRR, 2024

Lazy Diffusion Transformer for Interactive Image Editing.

Yotam Nitzan, Zongze Wu, Richard Zhang, Eli Shechtman, Daniel Cohen-Or, Taesung Park, Michaël Gharbi

Proceedings of the Computer Vision - ECCV 2024, 2024

Editable Image Elements for Controllable Synthesis.

Jiteng Mu, Michaël Gharbi, Richard Zhang, Eli Shechtman, Nuno Vasconcelos, Xiaolong Wang, Taesung Park

Proceedings of the Computer Vision - ECCV 2024, 2024

One-Step Diffusion with Distribution Matching Distillation.

Tianwei Yin, Michaël Gharbi, Richard Zhang, Eli Shechtman, Frédo Durand, William T. Freeman, Taesung Park

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

VecFusion: Vector Font Generation with Diffusion.

Vikas Thamizharasan, Difan Liu, Shantanu Agarwal, Matthew Fisher, Michaël Gharbi, Oliver Wang, Alec Jacobson, Evangelos Kalogerakis

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Image Neural Field Diffusion Models.

Yinbo Chen, Oliver Wang, Richard Zhang, Eli Shechtman, Xiaolong Wang, Michaël Gharbi

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Learning Subject-Aware Cropping by Outpainting Professional Photos.

James Hong, Lu Yuan, Michaël Gharbi, Matthew Fisher, Kayvon Fatahalian

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Discontinuity-Aware 2D Neural Fields.

Yash Belhe, Michaël Gharbi, Matthew Fisher, Iliyan Georgiev, Ravi Ramamoorthi, Tzu-Mao Li

ACM Trans. Graph., December, 2023

Materialistic: Selecting Similar Materials in Images.

Prafull Sharma, Julien Philip, Michaël Gharbi, Bill Freeman, Frédo Durand, Valentin Deschaintre

ACM Trans. Graph., August, 2023

Shadow Harmonization for Realistic Compositing.

Lucas Valença, Jinsong Zhang, Michaël Gharbi, Yannick Hold-Geoffroy, Jean-François Lalonde

Proceedings of the SIGGRAPH Asia 2023 Conference Papers, 2023

Self-Supervised Burst Super-Resolution.

Goutam Bhat, Michaël Gharbi, Jiawen Chen, Luc Van Gool, Zhihao Xia

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Semi-Supervised Parametric Real-World Image Harmonization.

Ke Wang, Michaël Gharbi, He Zhang, Zhihao Xia, Eli Shechtman

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Domain Expansion of Image Generators.

Yotam Nitzan, Michaël Gharbi, Richard Zhang, Taesung Park, Jun-Yan Zhu, Daniel Cohen-Or, Eli Shechtman

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

Searching for Fast Demosaicking Algorithms.

Karima Ma, Michaël Gharbi, Andrew Adams, Shoaib Kamil, Tzu-Mao Li, Connelly Barnes, Jonathan Ragan-Kelley

ACM Trans. Graph., 2022

Differentiable Rendering of Neural SDFs through Reparameterization.

Sai Praveen Bangaru, Michaël Gharbi, Fujun Luan, Tzu-Mao Li, Kalyan Sunkavalli, Milos Hasan, Sai Bi, Zexiang Xu, Gilbert Bernstein, Frédo Durand

Proceedings of the SIGGRAPH Asia 2022 Conference Papers, 2022

Spotting Temporally Precise, Fine-Grained Events in Video.

James Hong, Haotian Zhang, Michaël Gharbi, Matthew Fisher, Kayvon Fatahalian

Proceedings of the Computer Vision - ECCV 2022, 2022

Any-Resolution Training for High-Resolution Image Synthesis.

Lucy Chai, Michaël Gharbi, Eli Shechtman, Phillip Isola, Richard Zhang

Proceedings of the Computer Vision - ECCV 2022, 2022

2021

Free-viewpoint Indoor Neural Relighting from Multi-view Stereo.

Julien Philip, Sébastien Morgenthaler, Michaël Gharbi, George Drettakis

ACM Trans. Graph., 2021

Interactive Monte Carlo denoising using affinity of neural features.

Mustafa Isik, Krishna Mullia, Matthew Fisher, Jonathan Eisenmann, Michaël Gharbi

ACM Trans. Graph., 2021

MarioNette: Self-Supervised Sprite Learning.

Dmitriy Smirnov, Michaël Gharbi, Matthew Fisher, Vitor Guizilini, Alexei A. Efros, Justin M. Solomon

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Modulated Periodic Activations for Generalizable Local Functional Representations.

Ishit Mehta, Michaël Gharbi, Connelly Barnes, Eli Shechtman, Ravi Ramamoorthi, Manmohan Chandraker

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Video Pose Distillation for Few-Shot, Fine-Grained Sports Action Recognition.

James Hong, Matthew Fisher, Michaël Gharbi, Kayvon Fatahalian

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Deep Denoising of Flash and No-Flash Pairs for Photography in Low-Light Environments.

Zhihao Xia, Michaël Gharbi, Federico Perazzi, Kalyan Sunkavalli, Ayan Chakrabarti

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Spatially-Adaptive Pixelwise Networks for Fast Image Translation.

Tamar Rott Shaham, Michaël Gharbi, Richard Zhang, Eli Shechtman, Tomer Michaeli

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Im2Vec: Synthesizing Vector Graphics Without Vector Supervision.

Pradyumna Reddy, Michaël Gharbi, Michal Lukác, Niloy J. Mitra

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020

Differentiable vector graphics rasterization for editing and learning.

Tzu-Mao Li, Michal Lukác, Michaël Gharbi, Jonathan Ragan-Kelley

ACM Trans. Graph., 2020

Basis Prediction Networks for Effective Burst Denoising With Large Kernels.

Zhihao Xia, Federico Perazzi, Michaël Gharbi, Kalyan Sunkavalli, Ayan Chakrabarti

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019

Multi-view relighting using a geometry-aware network.

Julien Philip, Michaël Gharbi, Tinghui Zhou, Alexei A. Efros, George Drettakis

ACM Trans. Graph., 2019

Sample-based Monte Carlo denoising using a kernel-splatting network.

Michaël Gharbi, Tzu-Mao Li, Miika Aittala, Jaakko Lehtinen, Frédo Durand

ACM Trans. Graph., 2019

Learning to optimize halide with tree search and random programs.

Andrew Adams, Karima Ma, Luke Anderson, Riyadh Baghdadi, Tzu-Mao Li, Michaël Gharbi, Benoit Steiner, Steven Johnson, Kayvon Fatahalian, Frédo Durand, Jonathan Ragan-Kelley

ACM Trans. Graph., 2019

A Dataset of Multi-Illumination Images in the Wild.

Lukas Murmann, Michaël Gharbi, Miika Aittala, Frédo Durand

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

2018

Learning efficient image processing pipelines.

Michaël Gharbi

PhD thesis, 2018

Differentiable programming for image processing and deep learning in halide.

Tzu-Mao Li, Michaël Gharbi, Andrew Adams, Frédo Durand, Jonathan Ragan-Kelley

ACM Trans. Graph., 2018

2017

Deep bilateral learning for real-time image enhancement.

Michaël Gharbi, Jiawen Chen, Jonathan T. Barron, Samuel W. Hasinoff, Frédo Durand

ACM Trans. Graph., 2017

2016

Deep joint demosaicking and denoising.

Michaël Gharbi, Gaurav Chaurasia, Sylvain Paris, Frédo Durand

ACM Trans. Graph., 2016

2015

Transform recipes for efficient cloud photo enhancement.

Michaël Gharbi, Yichang Shih, Gaurav Chaurasia, Jonathan Ragan-Kelley, Sylvain Paris, Frédo Durand

ACM Trans. Graph., 2015