Search Results for author: Xiaobing Tu

Found 4 papers, 1 papers with code

A-SDM: Accelerating Stable Diffusion through Redundancy Removal and Performance Optimization

no code implementations24 Dec 2023 Jinchao Zhu, Yuxuan Wang, Xiaobing Tu, Siyuan Pan, Pengfei Wan, Gao Huang

The Stable Diffusion Model (SDM) is a popular and efficient text-to-image (t2i) generation and image-to-image (i2i) generation model.

Quantization

Layer-adaptive Structured Pruning Guided by Latency

no code implementations23 May 2023 Siyuan Pan, Linna Zhang, Jie Zhang, Xiaoshuang Li, Liang Hou, Xiaobing Tu

Structured pruning can simplify network architecture and improve inference speed.

Network Pruning

Wavelet Knowledge Distillation: Towards Efficient Image-to-Image Translation

no code implementations CVPR 2022 Linfeng Zhang, Xin Chen, Xiaobing Tu, Pengfei Wan, Ning Xu, Kaisheng Ma

Instead of directly distilling the generated images of teachers, wavelet knowledge distillation first decomposes the images into different frequency bands with discrete wavelet transformation and then only distills the high frequency bands.

Image-to-Image Translation Knowledge Distillation +1

N3H-Core: Neuron-designed Neural Network Accelerator via FPGA-based Heterogeneous Computing Cores

1 code implementation15 Dec 2021 Yu Gong, Zhihan Xu, Zhezhi He, Weifeng Zhang, Xiaobing Tu, Xiaoyao Liang, Li Jiang

From the software perspective, we mathematically and systematically model the latency and resource utilization of the proposed heterogeneous accelerator, regarding varying system design configurations.

Quantization

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