no code implementations • 11 Jun 2024 • Yinbo Chen, Oliver Wang, Richard Zhang, Eli Shechtman, Xiaolong Wang, Michael Gharbi
We propose to learn the distribution of continuous images by training diffusion models on image neural fields, which can be rendered at any resolution, and show its advantages over fixed-resolution models.
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.