Yu Liu

According to our database, Yu Liu authored at least 31 papers between 2021 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

In-Context LoRA for Diffusion Transformers.

Lianghua Huang, Wei Wang, Zhi-Fan Wu, Yupeng Shi, Huanzhang Dou, Chen Liang, Yutong Feng, Yu Liu, Jingren Zhou

CoRR, 2024

Group Diffusion Transformers are Unsupervised Multitask Learners.

Lianghua Huang, Wei Wang, Zhi-Fan Wu, Huanzhang Dou, Yupeng Shi, Yutong Feng, Chen Liang, Yu Liu, Jingren Zhou

CoRR, 2024

ACE: All-round Creator and Editor Following Instructions via Diffusion Transformer.

Zhen Han, Zeyinzi Jiang, Yulin Pan, Jingfeng Zhang, Chaojie Mao, Chenwei Xie, Yu Liu, Jingren Zhou

CoRR, 2024

BACON: Supercharge Your VLM with Bag-of-Concept Graph to Mitigate Hallucinations.

Zhantao Yang, Ruili Feng, Keyu Yan, Huangji Wang, Zhicai Wang, Shangwen Zhu, Han Zhang, Jie Xiao, Pingyu Wu, Kai Zhu, Jixuan Chen, Chen-Wei Xie, Chaojie Mao, Yue Yang, Hongyang Zhang, Yu Liu, Fan Cheng

CoRR, 2024

InFusion: Inpainting 3D Gaussians via Learning Depth Completion from Diffusion Prior.

Zhiheng Liu, Hao Ouyang, Qiuyu Wang, Ka Leong Cheng, Jie Xiao, Kai Zhu, Nan Xue, Yu Liu, Yujun Shen, Yang Cao

CoRR, 2024

CCM: Real-Time Controllable Visual Content Creation Using Text-to-Image Consistency Models.

Jie Xiao, Kai Zhu, Han Zhang, Zhiheng Liu, Yujun Shen, Zhantao Yang, Ruili Feng, Yu Liu, Xueyang Fu, Zheng-Jun Zha

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Lipschitz Singularities in Diffusion Models.

Zhantao Yang, Ruili Feng, Han Zhang, Yujun Shen, Kai Zhu, Lianghua Huang, Yifei Zhang, Yu Liu, Deli Zhao, Jingren Zhou, Fan Cheng

Proceedings of the Twelfth International Conference on Learning Representations, 2024

DreamClean: Restoring Clean Image Using Deep Diffusion Prior.

Jie Xiao, Ruili Feng, Han Zhang, Zhiheng Liu, Zhantao Yang, Yurui Zhu, Xueyang Fu, Kai Zhu, Yu Liu, Zheng-Jun Zha

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Exploring Guided Sampling of Conditional GANs.

Yifei Zhang, Mengfei Xia, Yujun Shen, Jiapeng Zhu, Ceyuan Yang, Kecheng Zheng, Lianghua Huang, Yu Liu, Fan Cheng

Proceedings of the Computer Vision - ECCV 2024, 2024

Learning Disentangled Identifiers for Action-Customized Text-to-Image Generation.

Siteng Huang, Biao Gong, Yutong Feng, Xi Chen, Yuqian Fu, Yu Liu, Donglin Wang

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Check, Locate, Rectify: A Training-Free Layout Calibration System for Text- to- Image Generation.

Biao Gong, Siteng Huang, Yutong Feng, Shiwei Zhang, Yuyuan Li, Yu Liu

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Ranni: Taming Text-to-Image Diffusion for Accurate Instruction Following.

Yutong Feng, Biao Gong, Di Chen, Yujun Shen, Yu Liu, Jingren Zhou

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Dream Video: Composing Your Dream Videos with Customized Subject and Motion.

Yujie Wei, Shiwei Zhang, Zhiwu Qing, Hangjie Yuan, Zhiheng Liu, Yu Liu, Yingya Zhang, Jingren Zhou, Hongming Shan

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

CCM: Adding Conditional Controls to Text-to-Image Consistency Models.

Jie Xiao, Kai Zhu, Han Zhang, Zhiheng Liu, Yujun Shen, Yu Liu, Xueyang Fu, Zheng-Jun Zha

CoRR, 2023

DreamVideo: Composing Your Dream Videos with Customized Subject and Motion.

Yujie Wei, Shiwei Zhang, Zhiwu Qing, Hangjie Yuan, Zhiheng Liu, Yu Liu, Yingya Zhang, Jingren Zhou, Hongming Shan

CoRR, 2023

AnyDoor: Zero-shot Object-level Image Customization.

Xi Chen, Lianghua Huang, Yu Liu, Yujun Shen, Deli Zhao, Hengshuang Zhao

CoRR, 2023

Eliminating Lipschitz Singularities in Diffusion Models.

Zhantao Yang, Ruili Feng, Han Zhang, Yujun Shen, Kai Zhu, Lianghua Huang, Yifei Zhang, Yu Liu, Deli Zhao, Jingren Zhou, Fan Cheng

CoRR, 2023

Cones 2: Customizable Image Synthesis with Multiple Subjects.

Zhiheng Liu, Yifei Zhang, Yujun Shen, Kecheng Zheng, Kai Zhu, Ruili Feng, Yu Liu, Deli Zhao, Jingren Zhou, Yang Cao

CoRR, 2023

Customizable Image Synthesis with Multiple Subjects.

Zhiheng Liu, Yifei Zhang, Yujun Shen, Kecheng Zheng, Kai Zhu, Ruili Feng, Yu Liu, Deli Zhao, Jingren Zhou, Yang Cao

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Cones: Concept Neurons in Diffusion Models for Customized Generation.

Zhiheng Liu, Ruili Feng, Kai Zhu, Yifei Zhang, Kecheng Zheng, Yu Liu, Deli Zhao, Jingren Zhou, Yang Cao

Proceedings of the International Conference on Machine Learning, 2023

Composer: Creative and Controllable Image Synthesis with Composable Conditions.

Lianghua Huang, Di Chen, Yu Liu, Yujun Shen, Deli Zhao, Jingren Zhou

Proceedings of the International Conference on Machine Learning, 2023

Efficient-VQGAN: Towards High-Resolution Image Generation with Efficient Vision Transformers.

Shiyue Cao, Yueqin Yin, Lianghua Huang, Yu Liu, Xin Zhao, Deli Zhao, Kaiqi Huang

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Dimensionality-Varying Diffusion Process.

Han Zhang, Ruili Feng, Zhantao Yang, Lianghua Huang, Yu Liu, Yifei Zhang, Yujun Shen, Deli Zhao, Jingren Zhou, Fan Cheng

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

Animating Images to Transfer CLIP for Video-Text Retrieval.

Yu Liu, Huai Chen, Lianghua Huang, Di Chen, Bin Wang, Pan Pan, Lisheng Wang

Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

GeoAug: Data Augmentation for Few-Shot NeRF with Geometry Constraints.

Di Chen, Yu Liu, Lianghua Huang, Bin Wang, Pan Pan

Proceedings of the Computer Vision - ECCV 2022, 2022

DiffGAR: Model-Agnostic Restoration from Generative Artifacts Using Image-to-Image Diffusion Models.

Yueqin Yin, Lianghua Huang, Yu Liu, Kaiqi Huang

Proceedings of the 6th International Conference on Computer Science and Artificial Intelligence, 2022

A Trend-Driven Fashion Design System for Rapid Response Marketing in E-commerce.

Lianghua Huang, Yu Liu, Bin Wang, Pan Pan, Rong Jin

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

Once and for All: Self-supervised Multi-modal Co-training on One-billion Videos at Alibaba.

Lianghua Huang, Yu Liu, Xiangzeng Zhou, Ansheng You, Ming Li, Bin Wang, Yingya Zhang, Pan Pan, Yinghui Xu

Proceedings of the MM '21: ACM Multimedia Conference, Virtual Event, China, October 20, 2021

Communication Efficient SGD via Gradient Sampling With Bayes Prior.

Liuyihan Song, Kang Zhao, Pan Pan, Yu Liu, Yingya Zhang, Yinghui Xu, Rong Jin

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Self-Supervised Video Representation Learning by Context and Motion Decoupling.

Lianghua Huang, Yu Liu, Bin Wang, Pan Pan, Yinghui Xu, Rong Jin

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Train a One-Million-Way Instance Classifier for Unsupervised Visual Representation Learning.

Yu Liu, Lianghua Huang, Pan Pan, Bin Wang, Yinghui Xu, Rong Jin

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021