Fu, Bin

20 publications

ICCV 2025 FontAnimate: High Quality Few-Shot Font Generation via Animating Font Transfer Process Bin Fu, Zixuan Wang, Kainan Yan, Shitian Zhao, Qi Qin, Jie Wen, Junjun He, Peng Gao

CVPR 2025 Interactive Medical Image Segmentation: A Benchmark Dataset and Baseline Junlong Cheng, Bin Fu, Jin Ye, Guoan Wang, Tianbin Li, Haoyu Wang, Ruoyu Li, He Yao, Junren Cheng, Jingwen Li, Yanzhou Su, Min Zhu, Junjun He

ICCV 2025 Lumina-Image 2.0: A Unified and Efficient Image Generative Framework Qi Qin, Le Zhuo, Yi Xin, Ruoyi Du, Zhen Li, Bin Fu, Yiting Lu, Xinyue Li, Dongyang Liu, Xiangyang Zhu, Will Beddow, Erwann Millon, Victor Perez, Wenhai Wang, Yu Qiao, Bo Zhang, Xiaohong Liu, Hongsheng Li, Chang Xu, Peng Gao

CVPR 2025 MVPaint: Synchronized Multi-View Diffusion for Painting Anything 3D Wei Cheng, Juncheng Mu, Xianfang Zeng, Xin Chen, Anqi Pang, Chi Zhang, Zhibin Wang, Bin Fu, Gang Yu, Ziwei Liu, Liang Pan

CVPR 2025 R2C: Mapping Room to Chessboard to Unlock LLM as Low-Level Action Planner Ziyi Bai, Hanxuan Li, Bin Fu, Chuyan Xiong, Ruiping Wang, Xilin Chen

NeurIPS 2024 GMAI-MMBench: A Comprehensive Multimodal Evaluation Benchmark Towards General Medical AI Pengcheng Chen, Jin Ye, Guoan Wang, Yanjun Li, Zhongying Deng, Wei Li, Tianbin Li, Haodong Duan, Ziyan Huang, Yanzhou Su, Benyou Wang, Shaoting Zhang, Bin Fu, Jianfei Cai, Bohan Zhuang, Eric J Seibel, Yu Qiao, Junjun He

CVPR 2024 Generate like Experts: Multi-Stage Font Generation by Incorporating Font Transfer Process into Diffusion Models Bin Fu, Fanghua Yu, Anran Liu, Zixuan Wang, Jie Wen, Junjun He, Yu Qiao

NeurIPS 2024 MeshXL: Neural Coordinate Field for Generative 3D Foundation Models Sijin Chen, Xin Chen, Anqi Pang, Xianfang Zeng, Wei Cheng, Yijun Fu, Fukun Yin, Zhibin Wang, Jingyi Yu, Gang Yu, Bin Fu, Tao Chen

CVPR 2024 Paint3D: Paint Anything 3D with Lighting-Less Texture Diffusion Models Xianfang Zeng, Xin Chen, Zhongqi Qi, Wen Liu, Zibo Zhao, Zhibin Wang, Bin Fu, Yong Liu, Gang Yu

AAAI 2024 Point2Real: Bridging the Gap Between Point Cloud and Realistic Image for Open-World 3D Recognition Hanxuan Li, Bin Fu, Ruiping Wang, Xilin Chen

CVPR 2023 Executing Your Commands via Motion Diffusion in Latent Space Xin Chen, Biao Jiang, Wen Liu, Zilong Huang, Bin Fu, Tao Chen, Gang Yu

NeurIPS 2023 Michelangelo: Conditional 3D Shape Generation Based on Shape-Image-Text Aligned Latent Representation Zibo Zhao, Wen Liu, Xin Chen, Xianfang Zeng, Rui Wang, Pei Cheng, Bin Fu, Tao Chen, Gang Yu, Shenghua Gao

CVPR 2023 Neural Transformation Fields for Arbitrary-Styled Font Generation Bin Fu, Junjun He, Jianjun Wang, Yu Qiao

ICCV 2023 Robust Geometry-Preserving Depth Estimation Using Differentiable Rendering Chi Zhang, Wei Yin, Gang Yu, Zhibin Wang, Tao Chen, Bin Fu, Joey Tianyi Zhou, Chunhua Shen

ECCVW 2022 Efficient Single-Image Depth Estimation on Mobile Devices, Mobile AI & AIM 2022 Challenge: Report Andrey Ignatov, Grigory Malivenko, Radu Timofte, Lukasz Treszczotko, Xin Chang, Piotr Ksiazek, Michal Lopuszynski, Maciej Pioro, Rafal Rudnicki, Maciej Smyl, Yujie Ma, Zhenyu Li, Zehui Chen, Jialei Xu, Xianming Liu, Junjun Jiang, XueChao Shi, Difan Xu, Yanan Li, Xiaotao Wang, Lei Lei, Ziyu Zhang, Yicheng Wang, Zilong Huang, Guozhong Luo, Gang Yu, Bin Fu, Jiaqi Li, Yiran Wang, Zihao Huang, Zhiguo Cao, Marcos V. Conde, Denis Sapozhnikov, Byeong Hyun Lee, Dongwon Park, Seongmin Hong, Joonhee Lee, Seunggyu Lee, Se Young Chun

NeurIPS 2022 Hierarchical Normalization for Robust Monocular Depth Estimation Chi Zhang, Wei Yin, Billzb Wang, Gang Yu, Bin Fu, Chunhua Shen

CVPRW 2021 A Simple Baseline for Fast and Accurate Depth Estimation on Mobile Devices Ziyu Zhang, Yicheng Wang, Zilong Huang, Guozhong Luo, Gang Yu, Bin Fu

AAAI 2020 Dynamic Sampling Network for Semantic Segmentation Bin Fu, Junjun He, Zhengfu Zhang, Yu Qiao

AAAI 2020 Multi-Point Semantic Representation for Intent Classification Jinghan Zhang, Yuxiao Ye, Yue Zhang, Likun Qiu, Bin Fu, Yang Li, Zhenglu Yang, Jian Sun

AAAI 2017 Generalized Ambiguity Decompositions for Classification with Applications in Active Learning and Unsupervised Ensemble Pruning Zhengshen Jiang, Hongzhi Liu, Bin Fu, Zhonghai Wu