Transform recipes for efficient cloud photo enhancement. - Michaël Gharbi; Yichang Shih; Gaurav Chaurasia; Jonathan Ragan-Kelley; Sylvain Paris; Frédo Durand (ACM Trans. Graph., 2015)

Deep joint demosaicking and denoising. - Michaël Gharbi; Gaurav Chaurasia; Sylvain Paris; Frédo Durand (ACM Trans. Graph., 2016)

Deep bilateral learning for real-time image enhancement. - Michaël Gharbi; Jiawen Chen 001; Jonathan T. Barron; Samuel W. Hasinoff; Frédo Durand (ACM Trans. Graph., 2017)

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)

Learning efficient image processing pipelines. - Michaël Gharbi (2018)

A Dataset of Multi-Illumination Images in the Wild. - Lukas Murmann; Michaël Gharbi; Miika Aittala; Frédo Durand (ICCV, 2019)

Learning to optimize halide with tree search and random programs. - Andrew Adams; Karima Ma; Luke Anderson 001; Riyadh Baghdadi; Tzu-Mao Li; Michaël Gharbi; Benoit Steiner; Steven Johnson; Kayvon Fatahalian; Frédo Durand; Jonathan Ragan-Kelley (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)

Multi-view relighting using a geometry-aware network. - Julien Philip; Michaël Gharbi; Tinghui Zhou; Alexei A. Efros; George Drettakis (ACM Trans. Graph., 2019)

Basis Prediction Networks for Effective Burst Denoising With Large Kernels. - Zhihao Xia; Federico Perazzi; Michaël Gharbi; Kalyan Sunkavalli; Ayan Chakrabarti (CVPR, 2020)

Differentiable vector graphics rasterization for editing and learning. - Tzu-Mao Li; Michal Lukác; Michaël Gharbi; Jonathan Ragan-Kelley (ACM Trans. Graph., 2020)

Im2Vec: Synthesizing Vector Graphics Without Vector Supervision. - Pradyumna Reddy; Michaël Gharbi; Michal Lukác; Niloy J. Mitra (CVPR, 2021)

Spatially-Adaptive Pixelwise Networks for Fast Image Translation. - Tamar Rott Shaham; Michaël Gharbi; Richard Zhang 001; Eli Shechtman; Tomer Michaeli (CVPR, 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 (CVPR, 2021)

Video Pose Distillation for Few-Shot, Fine-Grained Sports Action Recognition. - James Hong; Matthew Fisher; Michaël Gharbi; Kayvon Fatahalian (ICCV, 2021)

Modulated Periodic Activations for Generalizable Local Functional Representations. - Ishit Mehta; Michaël Gharbi; Connelly Barnes; Eli Shechtman; Ravi Ramamoorthi; Manmohan Chandraker (ICCV, 2021)

MarioNette: Self-Supervised Sprite Learning. - Dmitriy Smirnov 001; Michaël Gharbi; Matthew Fisher; Vitor Guizilini; Alexei A. Efros; Justin M. Solomon (NeurIPS, 2021)

Interactive Monte Carlo denoising using affinity of neural features. - Mustafa Isik; Krishna Mullia; Matthew Fisher; Jonathan Eisenmann; Michaël Gharbi (ACM Trans. Graph., 2021)

Free-viewpoint Indoor Neural Relighting from Multi-view Stereo. - Julien Philip; Sébastien Morgenthaler; Michaël Gharbi; George Drettakis (ACM Trans. Graph., 2021)

Any-Resolution Training for High-Resolution Image Synthesis. - Lucy Chai; Michaël Gharbi; Eli Shechtman; Phillip Isola; Richard Zhang 001 (ECCV (16), 2022)

Spotting Temporally Precise, Fine-Grained Events in Video. - James Hong; Haotian Zhang 004; Michaël Gharbi; Matthew Fisher; Kayvon Fatahalian (ECCV (35), 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 (SIGGRAPH Asia, 2022)

Searching for Fast Demosaicking Algorithms. - Karima Ma; Michaël Gharbi; Andrew Adams; Shoaib Kamil 001; Tzu-Mao Li; Connelly Barnes; Jonathan Ragan-Kelley (ACM Trans. Graph., 2022)

Domain Expansion of Image Generators. - Yotam Nitzan; Michaël Gharbi; Richard Zhang 001; Taesung Park; Jun-Yan Zhu; Daniel Cohen-Or; Eli Shechtman (CVPR, 2023)

Semi-Supervised Parametric Real-World Image Harmonization. - Ke Wang; Michaël Gharbi; He Zhang; Zhihao Xia; Eli Shechtman (CVPR, 2023)

Self-Supervised Burst Super-Resolution. - Goutam Bhat; Michaël Gharbi; Jiawen Chen 001; Luc Van Gool; Zhihao Xia (ICCV, 2023)

Shadow Harmonization for Realistic Compositing. - Lucas Valença; Jinsong Zhang; Michaël Gharbi; Yannick Hold-Geoffroy; Jean-François Lalonde (SIGGRAPH Asia, 2023)

Materialistic: Selecting Similar Materials in Images. - Prafull Sharma; Julien Philip; Michaël Gharbi; Bill Freeman; Frédo Durand; Valentin Deschaintre (ACM Trans. Graph., 2023)

Discontinuity-Aware 2D Neural Fields. - Yash Belhe; Michaël Gharbi; Matthew Fisher; Iliyan Georgiev; Ravi Ramamoorthi; Tzu-Mao Li (ACM Trans. Graph., 2023)

Learning Subject-Aware Cropping by Outpainting Professional Photos. - James Hong; Lu Yuan; Michaël Gharbi; Matthew Fisher; Kayvon Fatahalian (AAAI, 2024)

Image Neural Field Diffusion Models. - Yinbo Chen; Oliver Wang; Richard Zhang 001; Eli Shechtman; Xiaolong Wang 004; Michaël Gharbi (CVPR, 2024)

VecFusion: Vector Font Generation with Diffusion. - Vikas Thamizharasan; Difan Liu; Shantanu Agarwal; Matthew Fisher; Michaël Gharbi; Oliver Wang; Alec Jacobson; Evangelos Kalogerakis (CVPR, 2024)

One-Step Diffusion with Distribution Matching Distillation. - Tianwei Yin; Michaël Gharbi; Richard Zhang 001; Eli Shechtman; Frédo Durand; William T. Freeman; Taesung Park (CVPR, 2024)

Editable Image Elements for Controllable Synthesis. - Jiteng Mu; Michaël Gharbi; Richard Zhang 001; Eli Shechtman; Nuno Vasconcelos; Xiaolong Wang 004; Taesung Park (ECCV (2), 2024)

Lazy Diffusion Transformer for Interactive Image Editing. - Yotam Nitzan; Zongze Wu 002; Richard Zhang 001; Eli Shechtman; Daniel Cohen-Or; Taesung Park; Michaël Gharbi (ECCV (24), 2024)

Improved Distribution Matching Distillation for Fast Image Synthesis. - Tianwei Yin; Michaël Gharbi; Taesung Park; Richard Zhang 001; Eli Shechtman; Frédo Durand; Bill Freeman (NeurIPS, 2024)

Magic Fixup: Streamlining Photo Editing by Watching Dynamic Videos. - Hadi Alzayer; Zhihao Xia; Xuaner Zhang; Eli Shechtman; Jia-Bin Huang 001; Michaël Gharbi (CoRR, 2024)