Shenghai Yuan (袁盛海)
ID Photo

I am a master of computer science and technology at School of Electron and Computer Engineering, Peking University, advised by Prof. Li Yuan. I received my B. Eng in School of Computer Science and Technology, Guangdong University of Technology.

My research interests include but are not limited to Video Generation and Multimodal Large Language Models.

Email  |  Google Scholar  |  GitHub

Selected Publications

ChronoMagic-Bench : A Benchmark for Metamorphic Evaluation of Text-to-Time-lapse Video Generation

ChronoMagic-Bench : A Benchmark for Metamorphic Evaluation of Text-to-Time-lapse Video Generation

Shenghai Yuan, Jinfa Huang, Yongqi Xu, YaoYang Liu, Shaofeng Zhang, Yujun Shi, Ruijie Zhu, Xinhua Cheng, Jiebo Luo, Li Yuan

Neural Information Processing Systems (NeurIPS D&B Spotlight), 2024

Paper Code Page LeaderBoard Dataset_Pro Dataset_ProH Poster

We present ChronoMagic-Bench, a benchmark for metamorphic evaluation of text-to-time-lapse video generation, can reflect the physical prior capacity of the T2V model.

MagicTime: Time-lapse Video Generation Models as Metamorphic Simulators

MagicTime: Time-lapse Video Generation Models as Metamorphic Simulators

Shenghai Yuan*, Jinfa Huang*, Yujun Shi, Yongqi Xu, Ruijie Zhu, Bin Lin, Xinhua Cheng, Li Yuan, Jiebo Luo

Arxiv, 2024

Paper Code Page Dataset Poster

We are thrilled to present MagicTime, a metamorphic time-lapse video generation model and a new dataset ChronoMagic, support U-Net or DiT-based T2V frameworks.

LHNetV2: A Balanced Low-cost Hybrid Network for Single Image Dehazing

LHNetV2: A Balanced Low-cost Hybrid Network for Single Image Dehazing

Shenghai Yuan, Jijia Chen, Wenchao Jiang, Zhiming Zhao, Song Guo

IEEE Transactions on Multimedia (TMM), 2024

Paper Code

We introduce LHNetV2, an advanced version of LHNet that combines various dehazing features more efficiently while enhancing running speed.

LHNet: A Low-cost Hybrid Network for Single Image Dehazing

LHNet: A Low-cost Hybrid Network for Single Image Dehazing

Shenghai Yuan, Jijia Chen, Jiaqi Li, Wenchao Jiang, Song Guo

ACM International Conference on Multimedia (ACM MM), 2023

Paper Code Poster

We propose LHNet, a Low-cost Hybrid Network that effectively merges various features for single image dehazing.

Selected Projects

Open-Sora-Plan

PKU-Yuan Lab and Tuzhan AI etc.,
Report Code

Patents

An acceleration system and method for deconvolution calculation in neural networks

Shenghai Yuan, Bosheng Liu, Xiaoming Lie, Guanfu Cai

CN202210582998.5 / CN114821262A

A cleaning device for exterior windows of high-rise buildings

Shenghai Yuan

CN201821848303.9 / CN209678371U

FPGA-based mixed-precision data frequency domain convolution acceleration method and system

Yongqi Xu, Bosheng Liu, Yi Chen, Shenghai Yuan

CN201821848303.9 / CN209678371U

Awards