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Xiaoshi Wu
Xiaoshi Wu
Ph.D. student, CUHK
在 link.cuhk.edu.hk 的电子邮件经过验证 - 首页
标题
引用次数
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Uni-perceiver: Pre-training unified architecture for generic perception for zero-shot and few-shot tasks
X Zhu, J Zhu, H Li, X Wu, H Li, X Wang, J Dai
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022
1072022
Better aligning text-to-image models with human preference
X Wu, K Sun, F Zhu, R Zhao, H Li
arXiv preprint arXiv:2303.14420, 2023
702023
Human preference score v2: A solid benchmark for evaluating human preferences of text-to-image synthesis
X Wu, Y Hao, K Sun, Y Chen, F Zhu, R Zhao, H Li
arXiv preprint arXiv:2306.09341, 2023
622023
Cora: Adapting clip for open-vocabulary detection with region prompting and anchor pre-matching
X Wu, F Zhu, R Zhao, H Li
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2023
542023
Human preference score: Better aligning text-to-image models with human preference
X Wu, K Sun, F Zhu, R Zhao, H Li
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023
302023
Journeydb: A benchmark for generative image understanding
K Sun, J Pan, Y Ge, H Li, H Duan, X Wu, R Zhang, A Zhou, Z Qin, Y Wang, ...
Advances in Neural Information Processing Systems 36, 2024
222024
Towers of babel: Combining images, language, and 3d geometry for learning multimodal vision
X Wu, H Averbuch-Elor, J Sun, N Snavely
Proceedings of the IEEE/CVF International Conference on Computer Vision, 428-437, 2021
152021
Ecnet: Effective controllable text-to-image diffusion models
S Li, K Sun, Z Lai, X Wu, F Qiu, H Xie, K Miyata, H Li
arXiv preprint arXiv:2403.18417, 2024
12024
Deep Reward Supervisions for Tuning Text-to-Image Diffusion Models
X Wu, Y Hao, M Zhang, K Sun, Z Huang, G Song, Y Liu, H Li
arXiv preprint arXiv:2405.00760, 2024
2024
CoMat: Aligning Text-to-Image Diffusion Model with Image-to-Text Concept Matching
D Jiang, G Song, X Wu, R Zhang, D Shen, Z Zong, Y Liu, H Li
arXiv preprint arXiv:2404.03653, 2024
2024
Be-Your-Outpainter: Mastering Video Outpainting through Input-Specific Adaptation
FY Wang, X Wu, Z Huang, X Shi, D Shen, G Song, Y Liu, H Li
arXiv preprint arXiv:2403.13745, 2024
2024
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