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Mix-of-Show: Decentralized Low-Rank Adaptation for Multi-Concept Customization of Diffusion Models.

Y. Gu, X. Wang, J. Wu, Y. Shi, Y. Chen, Z. Fan, W. Xiao, R. Zhao, S. Chang, W. Wu, Y. Ge, Y. Shan, and M. Shou. NeurIPS, (2023)

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Yujun Zhang

Zhanjun Shi

Jian Shi

Renhu Shi

Huili Shi

Other publications of authors with the same name

Mimicking the Oracle: An Initial Phase Decorrelation Approach for Class Incremental Learning.Y. Shi, K. Zhou, J. Liang, Z. Jiang, J. Feng, P. Torr, S. Bai, and V. Tan. CVPR, page 16701-16710. IEEE, (2022)Learning with Fantasy: Semantic-Aware Virtual Contrastive Constraint for Few-Shot Class-Incremental Learning.Z. Song, Y. Zhao, Y. Shi, P. Peng, L. Yuan, and Y. Tian. CVPR, page 24183-24192. IEEE, (2023)All Tokens Matter: Token Labeling for Training Better Vision Transformers.Z. Jiang, Q. Hou, L. Yuan, D. Zhou, Y. Shi, X. Jin, A. Wang, and J. Feng. NeurIPS, page 18590-18602. (2021)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, and J. Luo. CoRR, (2024)Towards Understanding and Mitigating Dimensional Collapse in Heterogeneous Federated Learning.Y. Shi, J. Liang, W. Zhang, V. Tan, and S. Bai. ICLR, OpenReview.net, (2023)The removal of ocular artifactsfrom EEG signals: An adaptive modeling technique for portable applications.Y. Li, B. Hu, Q. Zhao, H. Peng, Y. Shi, Y. Li, and P. Moore. BIBM, page 222-228. IEEE Computer Society, (2013)Tokens-to-Token ViT: Training Vision Transformers from Scratch on ImageNet.L. Yuan, Y. Chen, T. Wang, W. Yu, Y. Shi, Z. Jiang, F. Tay, J. Feng, and S. Yan. ICCV, page 538-547. IEEE, (2021)Refiner: Refining Self-attention for Vision Transformers.D. Zhou, Y. Shi, B. Kang, W. Yu, Z. Jiang, L. Yuan, X. Jin, Q. Hou, and J. Feng. CoRR, (2021)Envision3D: One Image to 3D with Anchor Views Interpolation.Y. Pang, T. Jia, Y. Shi, Z. Tang, J. Zhang, X. Cheng, X. Zhou, F. Tay, and L. Yuan. CoRR, (2024)Leveraging Instance-, Image- and Dataset-Level Information for Weakly Supervised Instance Segmentation.Y. Liu, Y. Wu, P. Wen, Y. Shi, Y. Qiu, and M. Cheng. IEEE Trans. Pattern Anal. Mach. Intell., 44 (3): 1415-1428 (2022)

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Disambiguation of "Shi, Yujun"

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Mix-of-Show: Decentralized Low-Rank Adaptation for Multi-Concept Customization of Diffusion Models.

Please choose a person to relate this publication to

Yujun Zhang

Zhanjun Shi

Jian Shi

Renhu Shi

Huili Shi

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Shi, Yujun"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Mix-of-Show: Decentralized Low-Rank Adaptation for Multi-Concept Customization of Diffusion Models.

Please choose a person to relate this publication to

Yujun Zhang

Zhanjun Shi

Jian Shi

Renhu Shi

Huili Shi

Other publications of authors with the same name

Disambiguation

copy delete add this publication to your clipboard
community post
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URL
DOI
BibTeX
EndNote
APA
Chicago
DIN 1505
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Mix-of-Show: Decentralized Low-Rank Adaptation for Multi-Concept Customization of Diffusion Models.