Wu, Weijia

15 publications

CVPR 2025 ChatGen: Automatic Text-to-Image Generation from FreeStyle Chatting Chengyou Jia, Changliang Xia, Zhuohang Dang, Weijia Wu, Hangwei Qian, Minnan Luo

CVPR 2025 MovieBench: A Hierarchical Movie Level Dataset for Long Video Generation Weijia Wu, Mingyu Liu, Zeyu Zhu, Xi Xia, Haoen Feng, Wen Wang, Kevin Qinghong Lin, Chunhua Shen, Mike Zheng Shou

ECCV 2024 ControlCap: Controllable Region-Level Captioning Yuzhong Zhao, Liu Yue, Zonghao Guo, Weijia Wu, Chen Gong, Qixiang Ye, Fang Wan

CVPR 2024 DiverGen: Improving Instance Segmentation by Learning Wider Data Distribution with More Diverse Generative Data Chengxiang Fan, Muzhi Zhu, Hao Chen, Yang Liu, Weijia Wu, Huaqi Zhang, Chunhua Shen

ECCV 2024 Drag Anything: Motion Control for Anything Using Entity Representation Weijia Wu, Zhuang Li, Yuchao Gu, Rui Zhao, Yefei He, David Junhao Zhang, Mike Zheng Shou, Yan Li, Tingting Gao, Zhang Di

ICLR 2024 EfficientDM: Efficient Quantization-Aware Fine-Tuning of Low-Bit Diffusion Models Yefei He, Jing Liu, Weijia Wu, Hong Zhou, Bohan Zhuang

ECCV 2024 MotionDirector: Motion Customization of Text-to-Video Diffusion Models Rui Zhao, Yuchao Gu, Jay Zhangjie Wu, David Junhao Zhang, Jia-Wei Liu, Weijia Wu, Jussi Keppo, Mike Zheng Shou

NeurIPS 2024 ZipCache: Accurate and Efficient KV Cache Quantization with Salient Token Identification Yefei He, Luoming Zhang, Weijia Wu, Jing Liu, Hong Zhou, Bohan Zhuang

ICCV 2023 BiViT: Extremely Compressed Binary Vision Transformers Yefei He, Zhenyu Lou, Luoming Zhang, Jing Liu, Weijia Wu, Hong Zhou, Bohan Zhuang

NeurIPS 2023 DatasetDM: Synthesizing Data with Perception Annotations Using Diffusion Models Weijia Wu, Yuzhong Zhao, Hao Chen, Yuchao Gu, Rui Zhao, Yefei He, Hong Zhou, Mike Zheng Shou, Chunhua Shen

ICCV 2023 DiffuMask: Synthesizing Images with Pixel-Level Annotations for Semantic Segmentation Using Diffusion Models Weijia Wu, Yuzhong Zhao, Mike Zheng Shou, Hong Zhou, Chunhua Shen

ICCV 2023 Generative Prompt Model for Weakly Supervised Object Localization Yuzhong Zhao, Qixiang Ye, Weijia Wu, Chunhua Shen, Fang Wan

NeurIPS 2023 Mix-of-Show: Decentralized Low-Rank Adaptation for Multi-Concept Customization of Diffusion Models Yuchao Gu, Xintao Wang, Jay Zhangjie Wu, Yujun Shi, Yunpeng Chen, Zihan Fan, Wuyou Xiao, Rui Zhao, Shuning Chang, Weijia Wu, Yixiao Ge, Ying Shan, Mike Zheng Shou

NeurIPS 2023 PTQD: Accurate Post-Training Quantization for Diffusion Models Yefei He, Luping Liu, Jing Liu, Weijia Wu, Hong Zhou, Bohan Zhuang

ICMLW 2022 ECLIP: Efficient Contrastive Language-Image Pretraining via Ensemble Confidence Learning and Masked Language Modeling Jue Wang, Haofan Wang, Weijia Wu, Jincan Deng, Yu Lu, Xiaofeng Guo, Debing Zhang