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2020 – today
- 2026
[i8]Zhefan Rao, Bin Zou, Haoxuan Che, Xuanhua He, Chong Hou Choi, Yanheng Li, Rui Liu, Qifeng Chen:
InsEdit: Towards Instruction-based Visual Editing via Data-Efficient Video Diffusion Models Adaptation. CoRR abs/2604.08646 (2026)- [i7]Meng Chu, Xuan Billy Zhang, Kevin Qinghong Lin, Lingdong Kong, Jize Zhang, Teng Tu, Weijian Ma, Ziqi Huang, Senqiao Yang, Wei Huang, Yeying Jin, Zhefan Rao, Jinhui Ye, Xinyu Lin, Xichen Zhang, Qisheng Hu, Shuai Yang, Leyang Shen, Wei Chow, Yifei Dong, Fengyi Wu, Quanyu Long, Bin Xia, Shaozuo Yu, Mingkang Zhu, Wenhu Zhang, Jiehui Huang, Haokun Gui, Haoxuan Che, Long Chen, Qifeng Chen, Wenxuan Zhang, Wenya Wang, Xiaojuan Qi, Yang Deng, Yanwei Li, Mike Zheng Shou, Zhi-Qi Cheng, See-Kiong Ng, Ziwei Liu, Philip Torr, Jiaya Jia:
Agentic World Modeling: Foundations, Capabilities, Laws, and Beyond. CoRR abs/2604.22748 (2026) - [i6]Zhaoqing Li, Haoning Xu, Jingran Su, Yaofang Liu, Zhefan Rao, Huimeng Wang, Jiajun Deng, Tianzi Wang, Zengrui Jin, Rui Liu, Haoxuan Che, Xunying Liu:
UNISON: A Unified Sound Generation and Editing Framework via Deep LLM Fusion. CoRR abs/2605.31530 (2026) - 2025
- [j2]Qiang Wen, Zhefan Rao, Chenyang Lei, Wenxiu Sun, Qiong Yan, Jing Li, Fei Lei, Qifeng Chen
:
Enhancing HDR Imaging with Joint Denoising and Deblurring. Int. J. Comput. Vis. 133(11): 7536-7552 (2025) - [c6]Qiang Wen, Zhefan Rao, Yazhou Xing, Qifeng Chen:
LDM-ISP: Enhancing Neural ISP for Low Light with Latent Diffusion Models. ICRA 2025: 13297-13303 - [c5]Zhefan Rao, Tianjia Zhang, Yuen-Fui Lau, Qifeng Chen:
Robust Portrait Image Matting and Depth-of-field Synthesis via Multiplane Images. WACV 2025: 9607-9617 - [i5]Meng Chu, Senqiao Yang, Haoxuan Che, Suiyun Zhang, Xichen Zhang, Shaozuo Yu, Haokun Gui, Zhefan Rao, Dandan Tu, Rui Liu, Jiaya Jia:
VisionDirector: Vision-Language Guided Closed-Loop Refinement for Generative Image Synthesis. CoRR abs/2512.19243 (2025) - 2024
- [c4]Liya Ji, Zhefan Rao, Sinno Jialin Pan, Chenyang Lei, Qifeng Chen:
A Diffusion Model with State Estimation for Degradation-Blind Inverse Imaging. AAAI 2024: 2471-2479 - [c3]Yuen-Fui Lau, Tianjia Zhang, Zhefan Rao, Qifeng Chen:
ENTED: Enhanced Neural Texture Extraction and Distribution for Reference-based Blind Face Restoration. WACV 2024: 5150-5159 - [i4]Yuen-Fui Lau, Tianjia Zhang, Zhefan Rao, Qifeng Chen:
ENTED: Enhanced Neural Texture Extraction and Distribution for Reference-based Blind Face Restoration. CoRR abs/2401.06978 (2024) - [i3]Zhefan Rao, Liya Ji, Yazhou Xing, Runtao Liu, Zhaoyang Liu, Jiaxin Xie, Ziqiao Peng, Yingqing He, Qifeng Chen:
ModelGrow: Continual Text-to-Video Pre-training with Model Expansion and Language Understanding Enhancement. CoRR abs/2412.18966 (2024) - 2023
- [j1]Quanshi Zhang, Xu Cheng, Yilan Chen, Zhefan Rao:
Quantifying the Knowledge in a DNN to Explain Knowledge Distillation for Classification. IEEE Trans. Pattern Anal. Mach. Intell. 45(4): 5099-5113 (2023) - [c2]Liya Ji, Chan Ho Park, Zhefan Rao, Qifeng Chen:
Neural Image Popularity Assessment with Retrieval-augmented Transformer. ACM Multimedia 2023: 2427-2436 - 2022
- [i2]Quanshi Zhang, Xu Cheng, Yilan Chen, Zhefan Rao:
Quantifying the Knowledge in a DNN to Explain Knowledge Distillation for Classification. CoRR abs/2208.08741 (2022) - 2020
- [c1]Xu Cheng, Zhefan Rao, Yilan Chen, Quanshi Zhang:
Explaining Knowledge Distillation by Quantifying the Knowledge. CVPR 2020: 12922-12932 - [i1]Xu Cheng, Zhefan Rao, Yilan Chen, Quanshi Zhang:
Explaining Knowledge Distillation by Quantifying the Knowledge. CoRR abs/2003.03622 (2020)
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