About me

I am a final-year PhD candidate at Multimedia Laboratory, advised by Prof. Hongsheng Li. I also work closely with Shangzhe Wu in Stanford. My current research focuses on facial perception and generation, 3D learning, and diffusion models. I obtained my Master’s degree from Tsinghua University and Bachelor's degree in Tianjin University.

Selected Preprints

🐎 Ponymation: Learning 3D Animal Motions from Unlabeled Online Videos

Keqiang Sun*, Dor Litvak*, Yunzhi Zhang, Hongsheng Li, Jiajun Wu^†, Shangzhe Wu^†.

(*equal contribution, †equal advising)

[Paper], [Project page],

ECNet: Effective Controllable Text-to-Image Diffusion Models

Sicheng Li, Keqiang Sun, Zhixin Lai, Xiaoshi Wu, Feng Qiu, Haoran Xie, Kazunori Miyata, and Hongsheng Li.

[Paper],

Publications

JourneyDB: A Benchmark for Generative Image Understanding

Keqiang Sun*, Junting Pan*, Yuying Ge, Hao Li, Haodong Duan, Xiaoshi Wu, Renrui Zhang, Aojun Zhou, Zipeng Qin, Yi Wang, Jifeng Dai, Yu Qiao, Limin Wang^†, Hongsheng Li^†

(*equal contribution, †equal advising)

Conference on Neural Information Processing Systems (NeurIPS), 2023

[Paper], [Project page], [Code], [HuggingFace], [OpenDataLab],

Human Preference Score: Better Aligning Text-to-Image Models with Human Preference

Xiaoshi Wu, Keqiang Sun, Feng Zhu, Rui Zhao, Hongsheng Li

International Conference on Computer Vision (ICCV), 2023

[Paper], [Project page], [Code],

NDC-Scene: Boost Monocular 3D Semantic Scene Completion in Normalized Device Coordinates Space

Jiawei Yao*, Chuming Li*, Keqiang Sun*, Yingjie Cai, Hao Li, Wanli Ouyang^†, Hongsheng Li^†

(*equal contribution, †equal advising)

International Conference on Computer Vision (ICCV), 2023

[Paper], [Project page], [Code]

CGOF++: Controllable 3D Face Synthesis with Conditional Generative Occupancy Fields

Keqiang Sun, Shangzhe Wu, Ning Zhang, Zhaoyang Huang, Quan Wang, Hongsheng Li.

IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2023

[Paper], [Project page], [Code]

Controllable 3D Face Synthesis with Conditional Generative Occupancy Fields

Keqiang Sun*, Shangzhe Wu*, Zhaoyang Huang, Ning Zhang, Quan Wang, Hongsheng Li.

(*equal contribution)

Conference on Neural Information Processing Systems (NeurIPS), 2022

[Paper], [Project page], [Code]

Inverting Generative Adversarial Renderer for Face Reconstruction

Jingtan Piao, Keqiang Sun, Quan Wang, Kwan-Yee Lin, Hongsheng Li.

Computer Vision and Pattern Recognition (CVPR), 2021 (oral)

[Paper], [Project page], [Code]

Aggregation via Separation: Boosting Facial Landmark Detector with Self-Supervised Style Transition

Shengju Qian, Keqiang Sun, Wayne Wu, Chen Qian, Jiaya Jia.

International Conference on Computer Vision (ICCV), 2019

[Paper], [Code]

FAB: A Robust Facial Landmark Detection Framework for Motion-Blurred Videos

Keqiang Sun, Wayne Wu, Tinghao Liu, Shuo Yang, Quan Wang, Qiang Zhou, Zuochang Ye, Chen Qian.

International Conference on Computer Vision (ICCV), 2019

[Paper], [Project page], [Code]

Professional Activities

I serve as a reviewer for: ECCV 2024, AAAI 2021; CVPR 2024, 2021, 2020; ICLR 2022; NeurIPS 2023, 2022, 2020; ICML 2023; IJCV; Neurocomputing.