Search Results for author: Yan Hong

Found 6 papers, 4 papers with code

Making Images Real Again: A Comprehensive Survey on Deep Image Composition

1 code implementation28 Jun 2021 Li Niu, Wenyan Cong, Liu Liu, Yan Hong, Bo Zhang, Jing Liang, Liqing Zhang

Datasets and codes for image composition are summarized at https://github. com/bcmi/Awesome-Image-Composition.

Shadow Generation for Composite Image in Real-world Scenes

1 code implementation21 Apr 2021 Yan Hong, Li Niu, Jianfu Zhang, Liqing Zhang

Then, we propose a novel shadow generation network SGRNet, which consists of a shadow mask prediction stage and a shadow filling stage.

DeltaGAN: Towards Diverse Few-shot Image Generation with Sample-Specific Delta

no code implementations18 Sep 2020 Yan Hong, Li Niu, Jianfu Zhang, Jing Liang, Liqing Zhang

In this work, we propose a novel Delta Generative Adversarial Network (DeltaGAN), which consists of a reconstruction subnetwork and a generation subnetwork.

Image Generation

F2GAN: Fusing-and-Filling GAN for Few-shot Image Generation

1 code implementation5 Aug 2020 Yan Hong, Li Niu, Jianfu Zhang, Weijie Zhao, Chen Fu, Liqing Zhang

In this paper, we propose a Fusing-and-Filling Generative Adversarial Network (F2GAN) to generate realistic and diverse images for a new category with only a few images.

Image Generation

Beyond without Forgetting: Multi-Task Learning for Classification with Disjoint Datasets

no code implementations15 Mar 2020 Yan Hong, Li Niu, Jianfu Zhang, Liqing Zhang

To address these issues, we propose our MTL with Selective Augmentation (MTL-SA) method to select the training samples in unlabeled datasets with confident pseudo labels and close data distribution to the labeled dataset.

Classification General Classification +1

MatchingGAN: Matching-based Few-shot Image Generation

1 code implementation7 Mar 2020 Yan Hong, Li Niu, Jianfu Zhang, Liqing Zhang

Matching generator can match random vectors with a few conditional images from the same category and generate new images for this category based on the fused features.

Image Generation

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