Gongye Liu

Gongye Liu (刘功烨)

Hi, I'm Gongye Liu. I am currently a third-year graduate student at Tsinghua University, supervised by Professor Yujiu Yang.

Prior to that, I received my B.Eng degree(2018-2022) in Beihang University.

My current research focus on image and video generation. I'm particularly interested in projects that spark new ideas or create visually appealing contents for people.

Email / Scholar / Github

Publications

StyleCrafter: Taming Stylized 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
SIGGRAPH Asia, 2024 (Journal Track)

arXiv / Paper / Project / Code

Reference based Stylized Text-to-Image/Video Generation with Limited Stylized Data.

Accelerating Diffusion Models for Inverse Problems through Shortcut Sampling
Gongye Liu, Haoze Sun, Jiayi Li, Fei Yin, Yujiu Yang
IJCAI, 2024

arXiv / Paper / Code / Poster

Zero-shot Image Restoration based on Diffusion

DynamiCrafter: Animating Open-domain Images with Video Diffusion Priors
Jinbo Xing, Menghan Xia, Yong Zhang, Haoxin Chen, Wangbo Yu, Hanyuan Liu, Gongye Liu, Xintao Wang, Ying Shan, Tien-Tsin Wong
ECCV, 2024 (Oral Presentation)

arXiv / Project / Code

An Open-Domain High-Quality Image-to-Video Foundation Model.

Selected Preprints

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
arXiv, 2024

arXiv / Project

A comprehensive survey on the recent development of visual autoregressive models.

CGB-DM: Content and Graphic Balance Layout Generation with Transformer-based Diffusion Model
Yu Li*, Yifan Chen, Gongye Liu, Jie Wu, Yujiu Yang
arXiv, 2024

arXiv / Project / Code

Utilizing DiT Architecture to Generate Layouts with Content and Graphic Balance.

Internship

	2024.04—2024.08: Hunyuan Video Generation Center, Tencent
	2023.07—2024.03: AILab CVC, Tencent, Research Intern, supervised by Dr. Menghan Xia