no code implementations • 19 Mar 2024 • Hadi AlZayer, Zhihao Xia, Xuaner Zhang, Eli Shechtman, Jia-Bin Huang, Michael Gharbi
We show that by using simple segmentations and coarse 2D manipulations, we can synthesize a photorealistic edit faithful to the user's input while addressing second-order effects like harmonizing the lighting and physical interactions between edited objects.
no code implementations • 16 Dec 2023 • Vikas Thamizharasan, Difan Liu, Shantanu Agarwal, Matthew Fisher, Michael Gharbi, Oliver Wang, Alec Jacobson, Evangelos Kalogerakis
We present VecFusion, a new neural architecture that can generate vector fonts with varying topological structures and precise control point positions.
1 code implementation • 14 Apr 2022 • Lucy Chai, Michael Gharbi, Eli Shechtman, Phillip Isola, Richard Zhang
To take advantage of varied-size data, we introduce continuous-scale training, a process that samples patches at random scales to train a new generator with variable output resolutions.
1 code implementation • NeurIPS 2021 • Dmitriy Smirnov, Michael Gharbi, Matthew Fisher, Vitor Guizilini, Alexei A. Efros, Justin Solomon
Artists and video game designers often construct 2D animations using libraries of sprites -- textured patches of objects and characters.
1 code implementation • CVPR 2021 • Pradyumna Reddy, Michael Gharbi, Michal Lukac, Niloy J. Mitra
The current alternative is to use specialized models that require explicit supervision on the vector graphics representation at training time.
1 code implementation • CVPR 2021 • Tamar Rott Shaham, Michael Gharbi, Richard Zhang, Eli Shechtman, Tomer Michaeli
We introduce a new generator architecture, aimed at fast and efficient high-resolution image-to-image translation.
no code implementations • ICCV 2019 • Lukas Murmann, Michael Gharbi, Miika Aittala, Fredo Durand
Collections of images under a single, uncontrolled illumination have enabled the rapid advancement of core computer vision tasks like classification, detection, and segmentation.