Search Results for author: Jiayu Xiao

Found 7 papers, 2 papers with code

Towards Robustness and Diversity: Continual Learning in Dialog Generation with Text-Mixup and Batch Nuclear-Norm Maximization

no code implementations16 Mar 2024 Zihan Wang, Jiayu Xiao, Mengxiang Li, Zhongjiang He, Yongxiang Li, Chao Wang, Shuangyong Song

In our dynamic world where data arrives in a continuous stream, continual learning enables us to incrementally add new tasks/domains without the need to retrain from scratch.

Continual Learning Data Augmentation +1

Pick-and-Draw: Training-free Semantic Guidance for Text-to-Image Personalization

no code implementations30 Jan 2024 Henglei Lv, Jiayu Xiao, Liang Li, Qingming Huang

To this end, we propose Pick-and-Draw, a training-free semantic guidance approach to boost identity consistency and generative diversity for personalization methods.

R&B: Region and Boundary Aware Zero-shot Grounded Text-to-image Generation

no code implementations13 Oct 2023 Jiayu Xiao, Henglei Lv, Liang Li, Shuhui Wang, Qingming Huang

Recent text-to-image (T2I) diffusion models have achieved remarkable progress in generating high-quality images given text-prompts as input.

Text-to-Image Generation

Text-Driven Generative Domain Adaptation with Spectral Consistency Regularization

1 code implementation ICCV 2023 Zhenhuan Liu, Liang Li, Jiayu Xiao, Zheng-Jun Zha, Qingming Huang

The experiments demonstrate the effectiveness of our method to preserve the diversity of source domain and generate high fidelity target images.

Domain Adaptation

Few Shot Generative Model Adaption via Relaxed Spatial Structural Alignment

2 code implementations CVPR 2022 Jiayu Xiao, Liang Li, Chaofei Wang, Zheng-Jun Zha, Qingming Huang

A feasible solution is to start with a GAN well-trained on a large scale source domain and adapt it to the target domain with a few samples, termed as few shot generative model adaption.

Generative Adversarial Network

CAM-loss: Towards Learning Spatially Discriminative Feature Representations

no code implementations ICCV 2021 Chaofei Wang, Jiayu Xiao, Yizeng Han, Qisen Yang, Shiji Song, Gao Huang

The backbone of traditional CNN classifier is generally considered as a feature extractor, followed by a linear layer which performs the classification.

Few-Shot Learning Image Classification +2

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