Gongye Liu

According to our database, Gongye Liu authored at least 14 papers between 2023 and 2026.

Collaborative distances:

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

2026

Beyond VLM-Based Rewards: Diffusion-Native Latent Reward Modeling.

Gongye Liu, Bo Yang, Yida Zhi, Zhizhou Zhong, Lei Ke, Didan Deng, Han Gao, Yongxiang Huang, Kaihao Zhang, Hongbo Fu, Wenhan Luo

CoRR, February, 2026

2025

FlowSteer: Guiding Few-Step Image Synthesis with Authentic Trajectories.

Lei Ke, Hubery Yin, Gongye Liu, Zhengyao Lv, Jingcai Guo, Chen Li, Wenhan Luo, Yujiu Yang, Jing Lyu

CoRR, November, 2025

GRPO-Guard: Mitigating Implicit Over-Optimization in Flow Matching via Regulated Clipping.

Jing Wang, Jiajun Liang, Jie Liu, Henglin Liu, Gongye Liu, Jun Zheng, Wanyuan Pang, Ao Ma, Zhenyu Xie, Xintao Wang, Meng Wang, Pengfei Wan, Xiaodan Liang

CoRR, October, 2025

AdaViewPlanner: Adapting Video Diffusion Models for Viewpoint Planning in 4D Scenes.

Yu Li, Menghan Xia, Gongye Liu, Jianhong Bai, Xintao Wang, Conglang Zhang, Yuxuan Lin, Ruihang Chu, Pengfei Wan, Yujiu Yang

CoRR, October, 2025

Flow-GRPO: Training Flow Matching Models via Online RL.

Jie Liu, Gongye Liu, Jiajun Liang, Yangguang Li, Jiaheng Liu, Xintao Wang, Pengfei Wan, Di Zhang, Wanli Ouyang

CoRR, May, 2025

Improving Video Generation with Human Feedback.

Jie Liu, Gongye Liu, Jiajun Liang, Ziyang Yuan, Xiaokun Liu, Mingwu Zheng, Xiele Wu, Qiulin Wang, Wenyu Qin, Menghan Xia, Xintao Wang, Xiaohong Liu, Fei Yang, Pengfei Wan, Di Zhang, Kun Gai, Yujiu Yang, Wanli Ouyang

CoRR, January, 2025

Autoregressive Models in Vision: A Survey.

Jing Xiong, Gongye Liu, Lun Huang, Chengyue Wu, Taiqiang Wu, Yao Mu, Yuan Yao, Hui Shen, Zhongwei Wan, Jinfa Huang, Chaofan Tao, Shen Yan, Huaxiu Yao, Lingpeng Kong, Hongxia Yang, Mi Zhang, Guillermo Sapiro, Jiebo Luo, Ping Luo, Ngai Wong

Trans. Mach. Learn. Res., 2025

Improving Video Generation with Human Feedback.

Jie Liu, Gongye Liu, Jiajun Liang, Ziyang Yuan, Xiaokun Liu, Mingwu Zheng, Xiele Wu, Qiulin Wang, Menghan Xia, Xintao Wang, Xiaohong Liu, Fei Yang, Pengfei Wan, Di Zhang, Kun Gai, Yujiu Yang, Wanli Ouyang

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

ChartMimic: Evaluating LMM's Cross-Modal Reasoning Capability via Chart-to-Code Generation.

Cheng Yang, Chufan Shi, Yaxin Liu, Bo Shui, Junjie Wang, Mohan Jing, Linran Xu, Xinyu Zhu, Siheng Li, Yuxiang Zhang, Gongye Liu, Xiaomei Nie, Deng Cai, Yujiu Yang

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

2024

StyleCrafter: Taming Artistic Video Diffusion with Reference-Augmented Adapter Learning.

Gongye Liu, Menghan Xia, Yong Zhang, Haoxin Chen, Jinbo Xing, Yibo Wang, Xintao Wang, Ying Shan, Yujiu Yang

ACM Trans. Graph., December, 2024

CGB-DM: Content and Graphic Balance Layout Generation with Transformer-based Diffusion Model.

Yu Li, Yifan Chen, Gongye Liu, Jie Wu, Yujiu Yang

CoRR, 2024

Accelerating Diffusion Models for Inverse Problems through Shortcut Sampling.

Gongye Liu, Haoze Sun, Jiayi Li, Fei Yin, Yujiu Yang

Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

DynamiCrafter: Animating Open-Domain Images with Video Diffusion Priors.

Jinbo Xing, Menghan Xia, Yong Zhang, Hao Chen, Wangbo Yu, Hanyuan Liu, Gongye Liu, Xintao Wang, Ying Shan, Tien-Tsin Wong

Proceedings of the Computer Vision - ECCV 2024, 2024

2023

StyleCrafter: Enhancing Stylized Text-to-Video Generation with Style Adapter.

Gongye Liu, Menghan Xia, Yong Zhang, Haoxin Chen, Jinbo Xing, Xintao Wang, Yujiu Yang, Ying Shan

CoRR, 2023