Search Results for author: Yunliang Jiang

Found 6 papers, 2 papers with code

TcGAN: Semantic-Aware and Structure-Preserved GANs with Individual Vision Transformer for Fast Arbitrary One-Shot Image Generation

no code implementations16 Feb 2023 Yunliang Jiang, Lili Yan, Xiongtao Zhang, Yong liu, Danfeng Sun

One-shot image generation (OSG) with generative adversarial networks that learn from the internal patches of a given image has attracted world wide attention.

Image Harmonization Image Super-Resolution

Fuzzy Knowledge Distillation from High-Order TSK to Low-Order TSK

no code implementations16 Feb 2023 Xiongtao Zhang, Zezong Yin, Yunliang Jiang, Yizhang Jiang, Danfeng Sun, Yong liu

High-order Takagi-Sugeno-Kang (TSK) fuzzy classifiers possess powerful classification performance yet have fewer fuzzy rules, but always be impaired by its exponential growth training time and poorer interpretability owing to High-order polynomial used in consequent part of fuzzy rule, while Low-order TSK fuzzy classifiers run quickly with high interpretability, however they usually require more fuzzy rules and perform relatively not very well.

Benchmarking Knowledge Distillation +1

Mask-Guided Image Person Removal with Data Synthesis

no code implementations29 Sep 2022 Yunliang Jiang, Chenyang Gu, Zhenfeng Xue, Xiongtao Zhang, Yong liu

As a special case of common object removal, image person removal is playing an increasingly important role in social media and criminal investigation domains.

Optimizing Quantized Neural Networks with Natural Gradient

no code implementations1 Jan 2021 Jun Chen, Hanwen Chen, Jiangning Zhang, Wenzhou Chen, Yong liu, Yunliang Jiang

Quantized Neural Networks (QNNs) have achieved an enormous step in improving computational efficiency, making it possible to deploy large models to mobile and miniaturized devices.

Computational Efficiency

APB2FaceV2: Real-Time Audio-Guided Multi-Face Reenactment

1 code implementation25 Oct 2020 Jiangning Zhang, Xianfang Zeng, Chao Xu, Jun Chen, Yong liu, Yunliang Jiang

Audio-guided face reenactment aims to generate a photorealistic face that has matched facial expression with the input audio.

Face Reenactment

Cannot find the paper you are looking for? You can Submit a new open access paper.