no code implementations • 19 Dec 2023 • Haoyu Ma, Shahin Mahdizadehaghdam, Bichen Wu, Zhipeng Fan, YuChao Gu, Wenliang Zhao, Lior Shapira, Xiaohui Xie
Recent advances in generative AI have significantly enhanced image and video editing, particularly in the context of text prompt control.
1 code implementation • 26 Apr 2021 • Yu-Chuan Su, Soravit Changpinyo, Xiangning Chen, Sathish Thoppay, Cho-Jui Hsieh, Lior Shapira, Radu Soricut, Hartwig Adam, Matthew Brown, Ming-Hsuan Yang, Boqing Gong
To enable progress on this task, we create a new dataset consisting of 220k human-annotated 2. 5D relationships among 512K objects from 11K images.
no code implementations • 15 Apr 2021 • Yu-Chuan Su, Raviteja Vemulapalli, Ben Weiss, Chun-Te Chu, Philip Andrew Mansfield, Lior Shapira, Colvin Pitts
To address this issue, we propose a deep learning-based approach that provides suggestions to the photographer on how to adjust the camera view before capturing.
no code implementations • ICCV 2021 • Xiangyun Zhao, Raviteja Vemulapalli, Philip Andrew Mansfield, Boqing Gong, Bradley Green, Lior Shapira, Ying Wu
While recent Convolutional Neural Network (CNN) based semantic segmentation approaches have achieved impressive results by using large amounts of labeled training data, their performance drops significantly as the amount of labeled data decreases.
no code implementations • 13 Dec 2020 • Xiangyun Zhao, Raviteja Vemulapalli, Philip Mansfield, Boqing Gong, Bradley Green, Lior Shapira, Ying Wu
While recent Convolutional Neural Network (CNN) based semantic segmentation approaches have achieved impressive results by using large amounts of labeled training data, their performance drops significantly as the amount of labeled data decreases.
no code implementations • 4 Dec 2015 • Or Litany, Tal Remez, Daniel Freedman, Lior Shapira, Alex Bronstein, Ran Gal
We present ASIST, a technique for transforming point clouds by replacing objects with their semantically equivalent counterparts.