Yanze Wu
Yanze Wu
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Zitiert von
Zitiert von
T2i-adapter: Learning adapters to dig out more controllable ability for text-to-image diffusion models
C Mou, X Wang, L Xie, Y Wu, J Zhang, Z Qi, Y Shan, X Qie
AAAI24: The 38th Annual AAAI Conference on Artificial Intelligence, 2023
Towards vivid and diverse image colorization with generative color prior
Y Wu, X Wang, Y Li, H Zhang, X Zhao, Y Shan
Proceedings of the IEEE/CVF international conference on computer vision …, 2021
Metric learning based interactive modulation for real-world super-resolution
C Mou, Y Wu, X Wang, C Dong, J Zhang, Y Shan
European Conference on Computer Vision, 723-740, 2022
AnimeSR: learning real-world super-resolution models for animation videos
Y Wu, X Wang, G Li, Y Shan
Advances in Neural Information Processing Systems 35, 11241-11252, 2022
Question guided modular routing networks for visual question answering
Y Wu, Q Sun, J Ma, B Li, Y Fu, Y Peng, X Xue
arXiv preprint arXiv:1904.08324, 2019
DEADiff: An Efficient Stylization Diffusion Model with Disentangled Representations
T Qi, S Fang, Y Wu, H Xie, J Liu, L Chen, Q He, Y Zhang
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024
PuLID: Pure and Lightning ID Customization via Contrastive Alignment
Z Guo, Y Wu, Z Chen, L Chen, Q He
arXiv preprint arXiv:2404.16022, 2024
Empowering Real-World Image Super-Resolution With Flexible Interactive Modulation
C Mou, X Wang, Y Wu, Y Shan, J Zhang
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2024
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