近期发表的论文：
2024
[1] H. Li, Z. Lian*, HFH-Font: Few-shot Chinese Font Synthesis with Higher Quality, Faster Speed, and Higher Resolution, ACM Transactions on Graphics (TOG) (to be presented at SIGGRAPH Asia 2024) (CCF-A)
[2] B. Pang, Z. Zheng, Y. Li, G. Wang, P-S Wang*, Neural Laplacian Operator for 3D Point Clouds, ACM Transactions on Graphics (TOG) (to be presented at SIGGRAPH Asia 2024) (CCF-A)
[3] G. Pu, Y. Zhao, Z. Lian*, Pano2Room: Novel View Synthesis from a Single Indoor Panorama. SIGGRAPH Asia 2024 (CCF-A)
[4] Y. Liu, Z. Lian*, QT-Font: High-efficiency Font Synthesis via Quadtree-based Diffusion Models. SIGGRAPH 2024 (CCF-A)
[5] Y. Zhao, Z. Lian*, UDiffText: A Unified Framework for High-quality Text Synthesis in Arbitrary Images via Character-aware Diffusion Models, ECCV 2024
[6] Y. Men, H. Liu, Y. Yao, M. Cui, X. Xie, Z. Lian*, 3DToonify: Creating Your High-Fidelity 3D Stylized Avatar Easily from 2D Portrait Images, CVPR 2024 (accepted) (CCF-A)
[7] J. Cui, J. Du, W. Liu, Z. Lian*, TextNeRF: A Novel Scene-Text Image Synthesis Method based on Neural Radiance Fields, CVPR 2024 (accepted) (CCF-A)
[8] Y. Men, B. Lei, Y. Yao, M. Cui, Z. Lian, X. Xie. En3D: An Enhanced Generative Model for Sculpting 3D Humans from 2D Synthetic Data, CVPR 2024 (accepted) (CCF-A)
[9] Y. Liu, Z. Lian*. DeepCalliFont: Few-shot Chinese Calligraphy Font Synthesis by Integrating Dual-modality Generative Models. AAAI 2024. (Accepted) (CCF-A)
[10] Y. Luo, Z. Wu, Z. Lian*, CalliRewrite: Recovering Handwriting Behaviors from Calligraphy Images without Supervision, ICRA 2024 (accepted) (CCF-B) (Selected as a Finalist of IEEE ICRA Best Paper Award in Service Robotics)
[11] S. Li, S. Tang, Z. Lian*. CHWMaster: Mastering Chinese Handwriting via Sliding-Window Recurrent Neural Networks. IJDAR 2024
[12] X. Wu, L. Jiang, P-S. Wang, Z. Liu, X. Liu, Y. Qiao, W. Ouyang, T. He, H. Zhao. Point Transformer V3: Simpler, Faster, Stronger. CVPR 2024 (Oral).
[13] Z. Zheng, X. Gao, Z. Pan, W. Li, P-S. Wang, G. Wang, K. Wu. Visual-Preserving Mesh Repair. TVCG 2024.
[14] Y-Q. Yang, Y-X. Guo, J-Y. Xiong, Y. Liu, H. Pan, P-S. Wang, X Tong, B. Guo. Swin3D: A Pretrained Transformer Backbone for 3D Indoor Scene Understanding. CVMJ 2024.
[15] S. Yan, Y-Q. Yang, Y-X. Guo, H. Pan, P-S. Wang, X. Tong, Y. Liu, Q. Huang. 3D Feature Prediction for Masked-AutoEncoder-Based Point Cloud Pretraining. ICLR 2024.
2023
[1] B. Pang, Z. Zheng, G. Wang, P.-S. Wang*. Learning the Geodesic Embedding with Graph Neural Networks. ACM Transactions on Graphics (TOG). (Accepted)(to be presented at SIGGRAPH Asia 2023) (CCF-A)
[2] Z. Wang, Y, Zhang, R. Xu, F. Zhang, P.-S. Wang, S. Chen, S. Xin, W. Wang, C. Tu. Neural-Singular-Hessian: Implicit Neural Representation of Unoriented Point Clouds by Enforcing Singular Hessian. ACM Transactions on Graphics (TOG). (Accepted)(to be presented at SIGGRAPH Asia 2023) (CCF-A)
[3] G. Pu, P.-S. Wang, Z. Lian*. SinMPI: Novel View Synthesis from a Single Image with Expanded Multiplane Images. SIGGRAPH Asia 2023 (CCF-A)
[4] P.-S. Wang. OctFormer: Octree-based Transformers for 3D Point Clouds. ACM Transactions on Graphics (TOG). (Accepted)(to be presented at SIGGRAPH 2023) (CCF-A)
[5] X.-Y. Zheng, H. Pan, P.-S. Wang, X. Tong, Y. Liu, H.-Y. Shum. Locally Attentional SDF Diffusion for Controllable 3D Shape Generation. ACM Transactions on Graphics (TOG). (Accepted)(to be presented at SIGGRAPH 2023) (CCF-A)
[6] Y. Wang, Y. Wang, L. Yu, Y. Zhu, Z. Lian*. DeepVecFont-v2: Exploiting Transformers to Synthesize Vector Fonts with Higher Quality. CVPR 2023 (Accepted) (CCF-A)
[7] Z. Xia, B. Xiong, Z. Lian*. VecFontSDF: Learning to Reconstruct and Synthesize High-quality Vector Fonts via Signed Distance Functions. CVPR 2023 (accepted) (CCF-A)
[8] X. Sun, Y. Huang, Z. Lian*, Learning isometry-invariant representations for point cloud analysis, Pattern Recognition, 134 (109087), 2023
[9] Y. Liu, Z. Lian*, FontTransformer: Few-shot High-resolution Chinese Glyph Image Synthesis via Stacked Transformers, Pattern Recognition, 141 (109593), 2023
[10] S. Xu, L. Li, L. Shen, Z. Lian, DeSRF: Deformable Stylized Radiance Field, 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) 2023 (accepted)
[11] X. Sun, Z. Lian*, CurveSDF: Binary Image Vectorization Using Signed Distance Fields, ICMR 2023 (accepted)
[12] H. Wu, C. Lei, X. Sun, P.S. Wang, Q. Chen, K.T. Cheng, S. Lin, Z. Wu, Randomized Quantization: A Generic Augmentation for Data Agnostic Self-supervised Learning. ICCV 2023
[13] Z. Wang, P.S. Wang, P. Wang, etc, 2021. Neural-IMLS: Self-supervised Implicit Moving Least-Squares Network for Surface Reconstruction. TVCG 2023
2022
[1] G. Pu, Y. Men, Y. Mao, Y. Jiang, W. Ma, Z. Lian*. Controllable Image Synthesis with Attribute-Decomposed GAN. IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI). 2022 (Accepted) (CCF-A)
[2] Y. Men, Y. Yao, M. Cui, Z. Lian*, X. Xie. DCT-Net: Domain-calibrated Translation for Portrait Stylization. ACM Transactions on Graphics (TOG). (Accepted)(to be presented at SIGGRAPH 2022) (CCF-A)
[3] C. Xiao, W. Su, J. Liao, Z. Lian, Y. Song, H. Fu, DifferSketching: How Differently Do People Sketch 3D Objects? ACM Transactions on Graphics (TOG). (Accepted)(to be presented at SIGGRAPH Asia 2022) (CCF-A)
[4] Z. Lian*, Y. Gao. CVFont: Synthesizing Chinese Vector Fonts via Deep Layout Inferring, Computer Graphics Forum (CGF), 2022 (Accepted)
[5] Y. Wang, G. Pu, W. Luo, Y. Wang, P. Xiong, H. Kang, Z. Lian*. Aesthetic Text Logo Synthesis via Content-aware Layout Inferring. CVPR 2022 (Accepted) (CCF-A).
[6] Y. Men, Y. Yao, M. Cui, Z. Lian, X. Xie, X. Hua. Unpaired Cartoon Image Synthesis via Gated Cycle Mapping. CVPR 2022 (Accepted) (CCF-A).
[7] Z. Chen, Z. Lian*. Semi-supervised Semantic Segmentation via Prototypical Contrastive Learning. ACM MM 2022 (Accepted) (CCF-A)
[8] S. Xu, L. Li, L. Shen, Y. Men, Z. Lian*. Your3dEmoji: Creating Personalized Emojis via One-shot 3D-aware Cartoon Avatar Synthesis. SIGGRAPH Asia 2022 Technical Communications (Accepted) (CCF-A, Oral short paper)
2021
[1] Y. Wang, Z. Lian*. DeepVecFont: Synthesizing High-quality Vector Fonts via Dual-modality Learning. ACM Transactions on Graphics (TOG). 40(6): 265, 2021 (presented at SIGGRAPH Asia 2021).
[2] T. Sheng, J. Chen, Z. Lian*. CentripetalText: An Efficient Text Instance Representation for Scene Text Detection. NeurIPS 2021.
[3] Y. Gao, F. Wei, J. Bao, S. Gu, D. Chen, F. Wen, Z. Lian*. High-Fidelity and Arbitrary Face Editing. CVPR 2021. 16115-16124.
[4] X. Zhang, X. Sun, Z. Lian*. BoW Pooling: A Plug-and-Play Unit for Feature Aggregation of Point Clouds. AAAI 2021. 3403-3411.
[5] Y. Liu, Z. Lian*. FontRL: Chinese Font Synthesis via Deep Reinforcement Learning. AAAI 2021. 2198-2206.
[6] S. Tang, Z. Lian*. Write Like You: Synthesizing Your Cursive Online Chinese Handwriting via Metric-based Meta Learning. Computer Graphics Forum (CGF). 40(2): 141-151, 2021 (presented at Eurographics 2021).
[7] X. Sun, X. Long, D. He, S. Wen, Z. Lian*. VSRNet: End-to-End Video Segment Retrieval with Text Query. Pattern Recognition. 119: 108027, 2021.
[8] J. Chen, Z. Lian*. TextPolar: Irregular Scene Text Detection using Polar Representation. International Journal on Document Analysis and Recognition (IJDAR). 24(4): 315-323, 2021.
[9] T. Sheng, Z. Lian*. Bidirectional Regression for Arbitrary-Shaped Text Detection. ICDAR 2021. 187-201.
[10] 高宜琛, 连宙辉*, 唐英敏, 肖建国. 一种新的矢量中文字库自动压缩方法. 图学学报, 42(3): 426-431, 2021.
2020
[1] Y. Wang, Y. Gao, Z. Lian*. Attribute2Font: Creating Fonts You Want From Attributes. ACM Transactions on Graphics (TOG). 39(4): 69, 2020 (presented at SIGGRAPH 2020).
[2] Y. Men, Y. Mao, Y. Jiang, W. Ma, Z. Lian*. Controllable Person Image Synthesis with Attribute-Decomposed GAN. CVPR 2020. 5084-5093 (Oral).
[3] Y. Wang, Z. Lian*. Exploring Font-independent Features for Scene Text Recognition. ACM International Conference on Multimedia (MM 2020). 1900-1920.
[4] W. Wang, Z. Lian*, Y. Tang, J. Xiao. DeepStroke: Understanding Glyph Structure with Semantic Segmentation and Tabu Search. MMM 2020. 353-364.
[5] J. Liu, Z. Lian*, J. Xiao. Sketch based modeling and editing via shape space exploration. Multimedia Tools and Applications. 79(25-26): 18121-18142, 2020.
[6] X. Sun, Z. Lian*. EasyMesh: An efficient method to reconstruct 3D mesh from a single image. Comput. Aided Geom. Des. 80: 101862, 2020.
2019
[1] Y. Gao, Y. Guan, Z. Lian*, Y. Tang, J. Xiao. Artistic Glyph Image Synthesis via One-Stage Few-Shot Learning. ACM Transactions on Graphics (TOG). 38(6): 185, 2019 (presented at SIGGRAPH Asia 2019).
[2] Z. Lian*, B. Zhao, X. Chen, J. Xiao. EasyFont: A Style Learning based System to Easily Build Your Large-scale Handwriting Fonts. ACM Transactions on Graphics (TOG). 38(1): 6, 2019 (presented at SIGGRAPH 2019).
[3] S. Tang, Z. Xia, Z. Lian*, Y. Tang, J. Xiao. FontRNN: Generating Large-scale Chinese Fonts via Recurrent Neural Network. Computer Graphics Forum (CGF). 38(7): 567-577, 2019 (presented at PG 2019).
[4] J. Chen, Z. Lian*, Y. Wang, Y. Tang, J. Xiao. Irregular Scene Text Detection via Attention Guided Border Labeling. SCIENCE CHINA (Information Sciences). 62: 220103, 2019.
[5] Y. Gao, Z. Lian*, Y. Tang, J. Xiao. Automatic Generation of Chinese Vector Fonts via Deep Layout Inferring. SIGGRAPH Asia 2019 Technical Briefs. 33-36.
[6] Y. Men, Z. Lian*, Y. Tang, J. Xiao. DynTypo: Example-based Dynamic Text Effects Transfer. CVPR 2019. 5870-5879.
[7] Y. Jiang, Z. Lian*, Y. Tang, J. Xiao. SCFont: Structure-guided Chinese Font Generation via Deep Stacked Networks. AAAI 2019. 4015-4022.
[8] J. Liu, PL. Rosin, X. Sun, J. Xiao, Z. Lian*. Image-driven unsupervised 3D model co-segmentation. The Visual Computer (TVCJ). 35(6-8): 909-920, 2019.
[9] Y. Wang, Z. Lian*, Y. Tang, J. Xiao. Boosting Scene Character Recognition by Learning Canonical Forms of Glyphs. International Journal on Document Analysis and Recognition (IJDAR). 22(3): 209-219, 2019.
[10] X. Sun, Z. Lian*, J. Xiao. SRINet: Learning Strictly Rotation-Invariant Representations for Point Cloud Classification and Segmentation. ACM International Conference on Multimedia (MM 2019). 980-988.
2018
[1] Y. Men, Z. Lian*, Y. Tang, J. Xiao. A Common Framework for Interactive Texture Transfer. CVPR 2018. 6353-6362 (accepted as Spotlight).
[2] Y. Guo, Z. Lian*, Y. Tang, J. Xiao. Creating New Chinese Fonts based on Manifold Learning and Adversarial Networks. Eurographics 2018. 61-64 (accepted as a short oral paper).
[3] Y. Wang, Z. Lian*, Y. Tang, J. Xiao. Font Recognition in Natural Images via Transfer Learning, MMM 2018. 229-240.
[4] Z. Xia, Z. Lian*, Y. Tang, J. Xiao. As-Compact-As-Possible Vectorization for Character Images, SIGGRAPH Asia 2018 Technical Briefs. Article no.: 5.
[5] D. Pickup, J. Liu, X. Sun, P. L. Rosin, R. R. Martin, Z. Cheng, Z. Lian, S. Nie, L. Jin, G. Shamai, Y. Sahillioğlu, L. Kavang. An Evaluation of Canonical Forms for Non-Rigid 3D Shape Retrieval. Graphical Models. 97: 17-29), 2018.
[6] S. Yang, J. Liu, Z. Lian, Z. Guo. Text Effects Transfer via Distribution-Aware Texture Synthesis. Computer Vision and Image Understanding (CVIU). 174: 43-56, 2018.
[7] 刘成东, 连宙辉*, 唐英敏, 肖建国. 基于部件拼接的高质量中文字库自动生成系统. 北京大学学报（自然科学版）. 54(1): 35-41, 2018.
2017
[1] J. Liu, Z. Lian*, Y. Wang, J. Xiao. Incremental Kernel Null Space Discriminant Analysis for Novelty Detection.CVPR 2017. 792-800.
[2] S. Yang, J. Liu, Z. Lian, Z. Guo. Awesome Typography: Statistics-Based Text Effects Transfer. CVPR 2017. 2886-2895.
[3] X. Chen, Z. Lian*, Y. Tang, J. Xiao. An Automatic Stroke Extraction Method using Manifold Learning. Eurographics 2017. 65-68 (accepted as oral short paper).
[4] J. Liu, Z. Lian*, J. Xiao. Auto-colorization of 3D Models from Images. SIGGRAPH Asia 2017 Technical Briefs. Article no.: 15.
[5] Y. Jiang, Z. Lian*, Y. Tang, J. Xiao. DCFont: An End-To-End Deep Chinese Font Generation System. SIGGRAPH Asia 2017 Technical Briefs. Article no.: 22.
[6] J. Liu, Z. Lian*, J. Xiao. 3D Mesh Unfolding via Semidefinite Programming. Eurographics 3DOR 2017.
[7] C. Liu, Z. Lian*, Y. Tang, J. Xiao. Structure-aware Image Resizing for Chinese Characters. MMM 2017. 379–390.
2016
[1] D. Pickup, X. Sun, P. L. Rosin, R. R. Martin, Z. Cheng, Z. Lian, M. Aono, A. Ben Hamza, A. Bronstein, M. Bronstein, S. Bu, U. Castellani, S. Cheng, V. Garro, A. Giachetti, A. Godil, L. Isaia, J. Han, H. Johan, L. Lai, B. Li, C. Li, H. Li, R. Litman, X. Liu, Z. Liu, Y. Lu, L. Sun, G. Tam, A. Tatsuma, J. Yeshow less. Shape Retrieval of Non-rigid 3D Human Models. International Journal of Computer Vision (IJCV). 120(2): 169-193, 2016.
[2] Z. Lian*, B. Zhao, J. Xiao. Automatic Generation of Large-scale Handwriting Fonts via Style Learning. SIGGRAPH Asia 2016 Technical Briefs. Article no.: 12.
2015
[1] W. Dong, Z. Lian*, Y. Tang, J. Xiao. Text Detection in Natural Images Using Localized Stroke Width Transform. MMM 2015. 49-58.
[2] J. Zhang, Z. Lian*, Z. Liu, J. Xiao. CEFM: A Heuristic Mesh Segmentation Method based on Convexity Estimation and Fast Marching. International Conference on Computer Graphics Theory and Applications (GRAPP 2015). 114-121.
[3] Z. Lian*, J. Zhang, et al. SHREC’15 Track: Non-rigid 3D Shape Retrieval. Eurographics Workshop on 3D Object Retrieval (3DOR 2015). 107-120.
[4] R. Sun, Z. Lian*, Y. Tang, J. Xiao. Aesthetic Visual Quality Evaluation of Chinese Handwritings. IJCAI 2015. 2510-2516.
[5] W. Song, Z. Lian*, Y. Tang, J. Xiao. Content-Independent Font Recognition on a Single Chinese Character using Sparse Representation. ICDAR 2015. 376-380.
[6] X. Chen, Z. Lian*, Y. Tang, J. Xiao. A Benchmark For Stroke Extraction of Chinese Characters. Acta Scientiarum Naturalium Universitatis Pekinensis. 52(1): 49 -57, 2016.
[7] J. Liu, Z. Lian, J. Feng, B. Zhou. Sketch based Modeling via Manifold Regularization. SIGGRAPH Asia 2015 Technical Briefs. Article no.: 15.
2014
[1] Y. Yi, Z. Lian*, Y. Tang, J. Xiao. A data-driven personalized digital ink for Chinese characters. MMM 2014. 254-265.
[2] W. Pan, Z. Lian*, R. Sun, Y. Tang, J. Xiao. FlexiFont: A Flexible System to Generate Personal Font Libraries. DocEng 2014. 17-20.
[3] W. Pan, Z. Lian*, Y. Tang, J. Xiao. Skeleton-Guided Vectorization of Chinese Calligraphy Images. MMSP 2014. Paper ID.: 19.
[4] H. Sun, Z. Lian*, Y. Tang, J. Xiao. Non-Rigid Point Set Registration For Chinese Characters Using Structure-Guided Coherent Point Drift. ICIP 2014. 4752-4756.
[5] 易天旸,连宙辉*,孙浩,唐英敏,肖建国. 一种新的汉字笔画自动提取算法及其应用. 第十届中国计算机图形学大会(ChinaGraph 2014).
2013
[1] Z. Lian, A. Godil, J. Xiao. Feature-preserved 3D Canonical Form. International Journal of Computer Vision (IJCV). 102(1-3): 221-238, 2013
[2] Z. Lian, A. Godil, B. Bustos, M. Daoudi, J. Hermans, S. Kawamura, Y. Kurita, G. Lavoué, H.V. Nguyen, R. Ohbuchi, Y. Ohkita, Y. Ohishi, F. Porikli, M. Reuter, I. Sipiran, D. Smeets, P. Suetens, H. Tabia, D. Vandermeulen. A Comparison of Methods for Non-rigid 3D Shape Retrieval. Pattern Recognition (PR). 46(1): 449-461, 2013
[3] Z. Lian, A. Godil, X. Sun, J. Xiao. CM-BOF: Visual Similarity based 3D Shape Retrieval Using Clock Matching and Bag-of-Features. Machine Vision and Applications (MVAP). 24(8): 1685-1704, 2013
[4] Y. Yi, Z. Lian, Y. Tang, J. Xiao. A data-driven personalized digital ink for Chinese characters. MMM 2014. 254-265.
[5] C. Shi, J. Xiao, W. Jia, C. Xu. Character Feature Integration of Chinese Calligraphy and Font. Proc. SPIE 8658, Document Recognition and Retrieval XX (DRR), 86580M-1~8. Feb. 4, 2013.
[6] C. Wang, Z. Lian, Y. Tang, J. Xiao. Automatic Correspondence Finding for Chinese Characters using Graph Matching. The Seventh International Conference on Image and Graphics (ICIG 2013), July 2013.
2012
[1] Z. Lian, J. Xiao. Automatic Shape Morphing for Chinese Characters, SIGGRAPH Asia 2012 Technical Briefs. Article no.: 2.
[2] C. Shi, J. Xiao, W. Jia, C. Xu. Automatic Generation of Chinese Character Based on Human Vision and Prior Knowledge of Calligraphy. The 1st CCF Conference on Natural Language Processing & Chinese Computing, NLPCC 2012, Springer CCIS 333, pp.23-33. 2012.
[3] Z. Lian, A. Godil, P.L. Rosin, X. Sun. A New Convexity Measurement for 3D Meshes. CVPR 2012. 119-126.
专利转让和获奖：
[1] 第二十二届中国专利优秀奖: "一种基于书写风格建模的中文字库自动生成方法". 连宙辉, 肖建国. 2021
[2] “一种个性化汉字数字墨水的生成方法”等专利和专有技术转让, 连宙辉等，2018