Jun Hao Liew

I am a senior research scientist at TikTok/ByteDance Research. My research focus is controllable diffusion-based generative models. Before joining TikTok, I worked as a research fellow at NUS. Prior to that, I did my Ph.D. with A/P Sim-Heng Ong, Dr. Wei Xiong and Dr. Jiashi Feng in NUS.

I am actively looking for research interns and collaborators. Please feel free to drop me an email if you are interested.

Email / Google Scholar / LinkedIn / Twitter / Github

Research

	GigaTok: Scaling Visual Tokenizers to 3 Billion Parameters for Autoregressive Image Generation Tianwei Xiong, Jun Hao Liew, Zilong Huang, Jiashi Feng, Xihui Liu ICCV, 2025 project page / code / arXiv
	The Scalability of Simplicity: Empirical Analysis of Vision-Language Learning with a Single Transformer Weixian Lei, Jiacong Wang, Haochen Wang, Xiangtai Li, Jun Hao Liew, Jiashi Feng, Zilong Huang ICCV*, 2025 code / arXiv
	LightningDrag: Lightning Fast and Accurate Drag-based Image Editing Emerging from Videos Yujun Shi, Jun Hao Liew, Hanshu Yan, Vincent Y. F. Tan, Jiashi Feng ICML, 2025 project page / code / arXiv / HuggingFace demo
	DiG: Scalable and Efficient Diffusion Models with Gated Linear Attention Lianghui Zhu, Zilong Huang, Bencheng Liao, Jun Hao Liew, Hanshu Yan, Jiashi Feng, Xinggang Wang CVPR, 2025 code / arXiv
	MagicArticulate: Make Your 3D Models Articulation-Ready Chaoyue Song, Jianfeng Zhang, Xiu Li, Fan Yang, Yiwen Chen, Zhongcong Xu, Jun Hao Liew, Xiaoyang Guo, Fayao Liu, Jiashi Feng, Guosheng Lin CVPR, 2025 project page / code / arXiv
	ClassDiffusion: More Aligned Personalization Tuning with Explicit Class Guidance Jiannan Huang, Jun Hao Liew, Hanshu Yan, Yuyang Yin, Yao Zhao, Yunchao Wei ICLR, 2025 project page / code / arXiv
	High Quality Human Image Animation using Regional Supervision and Motion Blur Condition Zhongcong Xu, Chaoyue Song, Guoxian Song, Jianfeng Zhang, Jun Hao Liew, Hongyi Xu, You Xie, Linjie Luo, Guosheng Lin, Jiashi Feng, Mike Zheng Shou arXiv*, 2024 arXiv
	Empowering Visual Creativity: A Vision-Language Assistant to Image Editing Recommendations Tiancheng Shen, Jun Hao Liew, Long Mai, Lu Qi, Jiashi Feng, Jiaya Jia arXiv, 2024 arXiv
	PeRFlow: Piecewise Rectified Flow as Universal Plug-and-Play Accelerator Hanshu Yan, Xingchao Liu, Jiachun Pan, Jun Hao Liew, Qiang Liu, Jiashi Feng NeurIPS, 2024 project page / code / arXiv
	MagicVideo-V2: Multi-Stage High-Aesthetic Video Generation Weimin Wang, Jiawei Liu, Zhijie Lin, Jiangqiao Yan, Shuo Chen, Chetwin Low, Tuyen Hoang, Jie Wu, Jun Hao Liew, Hanshu Yan, Daquan Zhou, Jiashi Feng arXiv, 2024 project page / arXiv
	Towards Accurate Guided Diffusion Sampling through Symplectic Adjoint Method Jiachun Pan, Hanshu Yan, Jun Hao Liew, Jiashi Feng, Vincent V. F. Tan arXiv, 2023 code / arXiv
	DragDiffusion: Harnessing Diffusion Models for Interactive Point-based Image Editing Yujun Shi, Chuhui Xue, Jun Hao Liew, Jiachun Pan, Hanshu Yan, Wenqing Zhang, Vincent Y. F. Tan, Song Bai CVPR, 2024 *Highlight project page / code / arXiv
	AvatarStudio: High-fidelity and Animatable 3D Avatar Creation from Text Jianfeng Zhang, Xuanmeng Zhang, Huichao Zhang, Jun Hao Liew, Chenxu Zhang, Yi Yang, Jiashi Feng arXiv, 2023 project page / code / arXiv
	MagicAnimate: Temporally Consistent Human Image Animation using Diffusion Model Zhongcong Xu, Jianfeng Zhang, Jun Hao Liew, Hanshu Yan, Jia-Wei Liu, Chenxu Zhang, Jiashi Feng, Mike Zheng Shou CVPR, 2024 project page / code / arXiv / HuggingFace demo
	XAGen: 3D Expressive Human Avatars Generation Zhongcong Xu, Jianfeng Zhang, Jun Hao Liew, Jiashi Feng, Mike Zheng Shou NeurIPS, 2023 project page / code / arXiv
	Mixed Samples as Probes for Unsupervised Model Selection in Domain Adaptation Dapeng Hu, Jian Liang, Jun Hao Liew, Chuihui Xue, Song Bai, Xiaochang Wang NeurIPS, 2023 code / paper
	SegRefiner: Towards Model-Agnostic Segmentation Refinement with Discrete Diffusion Process Mengyu Wang, Henghui Ding, Jun Hao Liew, Jiajun Liu, Yao Zhao, Yunchao Wei NeurIPS, 2023 code / arXiv
	MagicEdit: High-Fidelity Temporally Coherent Video Editing Jun Hao Liew, Hanshu Yan, Jianfeng Zhang, Zhongcong Xu, Jiashi Feng arXiv, 2023 project page / code / arXiv
	MagicAvatar: Multimodal Avatar Generation and Animation Jianfeng Zhang, Hanshu Yan, Zhongcong Xu, Jiashi Feng, Jun Hao Liew arXiv, 2023 project page / code / arXiv / youtube
	MagicProp: Diffusion-based Video Editing via Motion-aware Appearance Propagation Hanshu Yan, Jun Hao Liew Long Mai, Shanchuan Lin, Jiashi Feng arXiv, 2023 arXiv
	Global Knowledge Calibration for Fast Open-Vocabulary Segmentation Kunyang Han, Yong Liu, Jun Hao Liew, Henghui Ding, Yunchao Wei, Jiajun Liu, Yitong Wang, Yansong Tang, Jiashi Feng, Yao Zhao ICCV, 2023 arXiv
	AdjointDPM: Adjoint Sensitivity Method for Gradient Backpropagation of Diffusion Probabilistic Models Jiachun Pan, Jun Hao Liew, Vincent Y. F. Tan, Jiashi Feng, Hanshu Yan ICLR, 2024 project page / arXiv
	Delving Deeper into Data Scaling in Masked Image Modeling Cheng-Ze Lu, Xiaojie Jin, Qibin Hou, Jun Hao Liew, Ming-Ming Cheng, Jiashi Feng arXiv, 2023 arXiv
	Associating Spatially-Consistent Grouping with Text-supervised Semantic Segmentation Yabo Zhang, Zihao Wang, Jun Hao Liew, Jingjia Huang, Manyu Zhu, Jiashi Feng, Wangmeng Zuo arXiv, 2023 arXiv
	PV3D: A 3D Generative Model for Portrait Video Generation Zhongcong Xu, Jianfeng Zhang, Jun Hao Liew, Wenqing Zhang, Song Bai, Jiashi Feng, Mike Zheng Shou ICLR, 2023 project page / code / arXiv
	MagicMix: Semantic Mixing with Diffusion Models Jun Hao Liew, Hanshu Yan, Daquan Zhou, Jiashi Feng arXiv, 2023 project page / arXiv / code (diffusers)
	Slim Scissors: Segmenting Thin Object from Synthetic Background Kunyang Han, Jun Hao Liew , Jiashi Feng, Huawei Tian, Yao Zhao, Yunchao Wei ECCV, 2022 project page / paper / code
	SODAR: Segmenting Objects by Dynamically Aggregating Neighboring Mask Representations Tao Wang, Jun Hao Liew , Yu Li, Yunpeng Chen, Jiashi Feng TIP, 2021 arXiv
	Cross-layer feature pyramid network for salient object detection Zun Li, Congyan Lang, Jun Hao Liew , Yidong Li, Qibin Hou, Jiashi Feng TIP, 2021 arXiv
	Body meshes as points Jianfeng Zhang, Dongdong Yu, Jun Hao Liew , Xuecheng Nie, Jiashi Feng CVPR, 2021 arXiv / supp / code
	Revisiting Superpixels for Active Learning in Semantic Segmentation With Realistic Annotation Costs Lile Cai, Xun Xu, Jun Hao Liew , Chuan Sheng Foo CVPR, 2021 paper / supp / code
	DANCE: A Deep Attentive Contour Model for Efficient Instance Segmentation Zichen Liu, Jun Hao Liew, Xiangyu Chen, Jiashi Feng WACV, 2021 paper / supp / code
	Deep Interactive Thin Object Selection Jun Hao Liew , Scott Cohen, Brian Price, Long Mai, Jiashi Feng WACV, 2021 paper / supp / code / ThinObject-5K dataset
	The devil is in classification: A simple framework for long-tail instance segmentation Tao Wang, Yu Li, Bingyi Kang, Junnan Li, Jun Hao Liew, Sheng Tang, Steven Hoi, Jiashi Feng ECCV, 2020 *LVIS 2019 winner arXiv / code
	Interactive Object Segmentation With Inside-Outside Guidance Shiyin Zhang, Jun Hao Liew , Yunchao Wei, Shikui Wei, Yao Zhao, Jiashi Feng CVPR, 2020 *Oral presentation paper / supp / code / Pixel-ImageNet dataset
	Deep Reasoning with Multi-scale Context for Salient Object Detection Zun Li, Congyan Lang, Yunpeng Chen, Jun Hao Liew , Jiashi Feng arXiv, 2019 arXiv
	MultiSeg: Semantically Meaningful, Scale-Diverse Segmentations From Minimal User Input Jun Hao Liew , Scott Cohen, Brian Price, Long Mai, Sim-Heng Ong, Jiashi Feng ICCV, 2019 paper / supp
	PANet: Few-Shot Image Semantic Segmentation with Prototype Alignment Kaixin Wang, Jun Hao Liew , Yingtian Zhou, Daquan Zhou, Jiashi Feng ICCV, 2019 *Oral presentation paper / supp / code / video
	Focus, Segment and Erase: An Efficient Network for Multi-label Brain Tumor Segmentation Xuan Chen, Jun Hao Liew, Wei Xiong, Chee-Kong Chui, Sim-Heng Ong, ECCV, 2018 paper
	Regional Interactive Image Segmentation Networks Jun Hao Liew , Yunchao Wei, Wei Xiong, Sim-Heng Ong, Jiashi Feng ICCV, 2017 paper / supp

Special thanks to Jon Barron for the website template.