Liew, Jun Hao

22 publications

ICLR 2025 ClassDiffusion: More Aligned Personalization Tuning with Explicit Class Guidance Jiannan Huang, Jun Hao Liew, Hanshu Yan, Yuyang Yin, Yao Zhao, Humphrey Shi, Yunchao Wei

CVPR 2025 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

ICCV 2025 GigaTok: Scaling Visual Tokenizers to 3 Billion Parameters for Autoregressive Image Generation Tianwei Xiong, Jun Hao Liew, Zilong Huang, Jiashi Feng, Xihui Liu

ICML 2025 LightningDrag: Lightning Fast and Accurate Drag-Based Image Editing Emerging from Videos Yujun Shi, Jun Hao Liew, Hanshu Yan, Vincent Tan, Jiashi Feng

CVPR 2025 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

ICCV 2025 QK-Edit: Revisiting Attention-Based Injection in MM-DiT for Image and Video Editing Tiancheng Shen, Zilong Huang, Xiangtai Li, Zhijie Lin, Jiyang Liu, Yitong Wang, Jiashi Feng, Ming-Hsuan Yang, Jun Hao Liew

ICCV 2025 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

ICLR 2024 AdjointDPM: Adjoint Sensitivity Method for Gradient Backpropagation of Diffusion Probabilistic Models Jiachun Pan, Jun Hao Liew, Vincent Tan, Jiashi Feng, Hanshu Yan

CVPR 2024 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 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

NeurIPS 2024 PeRFlow: Piecewise Rectified Flow as Universal Plug-and-Play Accelerator Hanshu Yan, Xingchao Liu, Jiachun Pan, Jun Hao Liew, Qiang Liu, Jiashi Feng

ICCV 2023 Global Knowledge Calibration for Fast Open-Vocabulary Segmentation Kunyang Han, Yong Liu, Jun Hao Liew, Henghui Ding, Jiajun Liu, Yitong Wang, Yansong Tang, Yujiu Yang, Jiashi Feng, Yao Zhao, Yunchao Wei

NeurIPS 2023 Mixed Samples as Probes for Unsupervised Model Selection in Domain Adaptation Dapeng Hu, Jian Liang, Jun Hao Liew, Chuhui Xue, Song Bai, Xinchao Wang

ICLR 2023 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

NeurIPS 2023 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 XAGen: 3D Expressive Human Avatars Generation Zhongcong Xu, Jianfeng Zhang, Jun Hao Liew, Jiashi Feng, Mike Zheng Shou

ECCV 2022 Slim Scissors: Segmenting Thin Object from Synthetic Background Kunyang Han, Jun Hao Liew, Jiashi Feng, Huawei Tian, Yao Zhao, Yunchao Wei

CVPR 2021 Body Meshes as Points Jianfeng Zhang, Dongdong Yu, Jun Hao Liew, Xuecheng Nie, Jiashi Feng

WACV 2021 DANCE: A Deep Attentive Contour Model for Efficient Instance Segmentation Zichen Liu, Jun Hao Liew, Xiangyu Chen, Jiashi Feng

WACV 2021 Deep Interactive Thin Object Selection Jun Hao Liew, Scott Cohen, Brian Price, Long Mai, Jiashi Feng

CVPR 2021 Revisiting Superpixels for Active Learning in Semantic Segmentation with Realistic Annotation Costs Lile Cai, Xun Xu, Jun Hao Liew, Chuan Sheng Foo

ICCV 2017 Regional Interactive Image Segmentation Networks Jun Hao Liew, Yunchao Wei, Wei Xiong, Sim-Heng Ong, Jiashi Feng