no code implementations • ECCV 2020 • Minyoung Huh, Richard Zhang, Jun-Yan Zhu, Sylvain Paris, Aaron Hertzmann
We present a method for projecting an input image into the space of a class-conditional generative neural network.
1 code implementation • CVPR 2023 • Minguk Kang, Jun-Yan Zhu, Richard Zhang, Jaesik Park, Eli Shechtman, Sylvain Paris, Taesung Park
From a technical standpoint, it also marked a drastic change in the favored architecture to design generative image models.
Ranked #18 on Image Generation on ImageNet 256x256
1 code implementation • 24 Mar 2022 • Nicholas Kolkin, Michal Kucera, Sylvain Paris, Daniel Sykora, Eli Shechtman, Greg Shakhnarovich
We propose Neural Neighbor Style Transfer (NNST), a pipeline that offers state-of-the-art quality, generalization, and competitive efficiency for artistic style transfer.
1 code implementation • CVPR 2021 • S. Mahdi H. Miangoleh, Sebastian Dille, Long Mai, Sylvain Paris, Yağız Aksoy
Neural networks have shown great abilities in estimating depth from a single image.
Ranked #1 on Monocular Depth Estimation on IBims-1
2 code implementations • 4 May 2020 • Minyoung Huh, Richard Zhang, Jun-Yan Zhu, Sylvain Paris, Aaron Hertzmann
We present a method for projecting an input image into the space of a class-conditional generative neural network.
2 code implementations • NeurIPS 2020 • Erik Härkönen, Aaron Hertzmann, Jaakko Lehtinen, Sylvain Paris
This paper describes a simple technique to analyze Generative Adversarial Networks (GANs) and create interpretable controls for image synthesis, such as change of viewpoint, aging, lighting, and time of day.
no code implementations • ECCV 2018 • Yagiz Aksoy, Changil Kim, Petr Kellnhofer, Sylvain Paris, Mohamed Elgharib, Marc Pollefeys, Wojciech Matusik
We present a dataset of thousands of ambient and flash illumination pairs to enable studying flash photography and other applications that can benefit from having separate illuminations.
12 code implementations • 9 Apr 2018 • Fujun Luan, Sylvain Paris, Eli Shechtman, Kavita Bala
Copying an element from a photo and pasting it into a painting is a challenging task.
Graphics
21 code implementations • CVPR 2017 • Fujun Luan, Sylvain Paris, Eli Shechtman, Kavita Bala
This paper introduces a deep-learning approach to photographic style transfer that handles a large variety of image content while faithfully transferring the reference style.
1 code implementation • 24 Dec 2014 • Zhicheng Yan, Hao Zhang, Baoyuan Wang, Sylvain Paris, Yizhou Yu
Many photographic styles rely on subtle adjustments that depend on the image content and even its semantics.
no code implementations • CVPR 2013 • Lin Zhong, Sunghyun Cho, Dimitris Metaxas, Sylvain Paris, Jue Wang
Based on this observation, our method applies a series of directional filters at different orientations to the input image, and estimates an accurate Radon transform of the blur kernel from each filtered image.