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Shenghai Yuan (袁盛海)
Shenghai Yuan (袁盛海)
Sonstige NamenYuan Shenghai
Peking University
Bestätigte E-Mail-Adresse bei stu.pku.edu.cn - Startseite
Titel
Zitiert von
Zitiert von
Jahr
MagicTime: Time-lapse Video Generation Models as Metamorphic Simulators
S Yuan, J Huang, Y Shi, Y Xu, R Zhu, B Lin, X Cheng, L Yuan, J Luo
arXiv preprint arXiv:2404.05014, 2024
262024
ChronoMagic-Bench: A benchmark for metamorphic evaluation of text-to-time-lapse video generation
S Yuan, J Huang, Y Xu, Y Liu, S Zhang, Y Shi, R Zhu, X Cheng, J Luo, ...
NeurIPS 2024 SpotLight, 2024
172024
Open-Sora Plan: Open-source large video generation model
B Lin, Y Ge, X Cheng, Z Li, B Zhu, S Wang, X He, Y Ye, S Yuan, L Chen, ...
arXiv preprint arXiv:2412.00131, 2024
92024
OD-VAE: An Omni-dimensional Video Compressor for Improving Latent Video Diffusion Model
L Chen, Z Li, B Lin, B Zhu, Q Wang, S Yuan, X Zhou, X Cheng, L Yuan
arXiv preprint arXiv:2409.01199, 2024
82024
LHNet: A Low-cost Hybrid Network for Single Image Dehazing
S Yuan, J Chen, J Li, W Jiang, S Guo
Proceedings of the 31st ACM International Conference on Multimedia, 7706-7717, 2023
72023
LHNetV2: A Balanced Low-cost Hybrid Network for Single Image Dehazing
S Yuan, J Chen, W Jiang, Z Zhao, S Guo
IEEE Transactions on Multimedia, 2024
52024
Identity-Preserving Text-to-Video Generation by Frequency Decomposition
S Yuan, J Huang, X He, Y Ge, Y Shi, L Chen, J Luo, L Yuan
arXiv preprint arXiv:2411.17440, 2024
42024
WF-VAE: Enhancing Video VAE by Wavelet-Driven Energy Flow for Latent Video Diffusion Model
Z Li, B Lin, Y Ye, L Chen, X Cheng, S Yuan, L Yuan
arXiv preprint arXiv:2411.17459, 2024
22024
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