no code implementations • 5 Apr 2023 • Kaiwen Cui, Rongliang Wu, Fangneng Zhan, Shijian Lu
Face swapping aims to generate swapped images that fuse the identity of source faces and the attributes of target faces.
no code implementations • CVPR 2023 • Kaiwen Cui, Yingchen Yu, Fangneng Zhan, Shengcai Liao, Shijian Lu1, Eric Xing
The first is aggregated generative KD that mitigates the discriminator overfitting by challenging the discriminator with harder learning tasks and distilling more generalizable knowledge from the pre-trained models.
2 code implementations • 30 Jul 2022 • Aoran Xiao, Jiaxing Huang, Dayan Guan, Kaiwen Cui, Shijian Lu, Ling Shao
The first is scene-level swapping which exchanges point cloud sectors of two LiDAR scans that are cut along the azimuth axis.
1 code implementation • 30 Jul 2022 • Gongjie Zhang, Zhipeng Luo, Kaiwen Cui, Shijian Lu, Eric P. Xing
Despite its success, the said paradigm is still constrained by several factors, such as (i) low-quality region proposals for novel classes and (ii) negligence of the inter-class correlation among different classes.
no code implementations • 21 Jul 2022 • Fangneng Zhan, Yingchen Yu, Rongliang Wu, Jiahui Zhang, Kaiwen Cui, Changgong Zhang, Shijian Lu
Extensive experiments over multiple conditional image generation tasks show that our method achieves superior diverse image generation performance qualitatively and quantitatively as compared with the state-of-the-art.
1 code implementation • CVPR 2022 • Gongjie Zhang, Zhipeng Luo, Yingchen Yu, Kaiwen Cui, Shijian Lu
First, it projects object queries into the same embedding space as encoded image features, where the matching can be accomplished efficiently with aligned semantics.
1 code implementation • 4 Oct 2021 • Kaiwen Cui, Jiaxing Huang, Zhipeng Luo, Gongjie Zhang, Fangneng Zhan, Shijian Lu
Specifically, we design GenCo, a Generative Co-training network that mitigates the discriminator over-fitting issue by introducing multiple complementary discriminators that provide diverse supervision from multiple distinctive views in training.
no code implementations • 7 Jul 2021 • Kaiwen Cui, Gongjie Zhang, Fangneng Zhan, Jiaxing Huang, Shijian Lu
Generative Adversarial Networks (GANs) have become the de-facto standard in image synthesis.
2 code implementations • 7 Jul 2021 • Fangneng Zhan, Yingchen Yu, Rongliang Wu, Jiahui Zhang, Kaiwen Cui, Aoran Xiao, Shijian Lu, Chunyan Miao
This paper presents a versatile image translation and manipulation framework that achieves accurate semantic and style guidance in image generation by explicitly building a correspondence.
no code implementations • CVPR 2021 • Fangneng Zhan, Yingchen Yu, Kaiwen Cui, Gongjie Zhang, Shijian Lu, Jianxiong Pan, Changgong Zhang, Feiying Ma, Xuansong Xie, Chunyan Miao
In addition, we design a semantic-activation normalization scheme that injects style features of exemplars into the image translation process successfully.
no code implementations • 26 Apr 2021 • Yingchen Yu, Fangneng Zhan, Rongliang Wu, Jianxiong Pan, Kaiwen Cui, Shijian Lu, Feiying Ma, Xuansong Xie, Chunyan Miao
With image-level attention, transformers enable to model long-range dependencies and generate diverse contents with autoregressive modeling of pixel-sequence distributions.
no code implementations • 28 Mar 2021 • Gongjie Zhang, Kaiwen Cui, Tzu-Yi Hung, Shijian Lu
In addition, the synthesized defect samples demonstrate their effectiveness in training better defect inspection networks.
2 code implementations • 22 Mar 2021 • Gongjie Zhang, Zhipeng Luo, Kaiwen Cui, Shijian Lu
Few-shot object detection has been extensively investigated by incorporating meta-learning into region-based detection frameworks.
Ranked #7 on Few-Shot Object Detection on MS-COCO (30-shot)