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2020 – today
- 2025
[i34]Yi He, Shengqi Dang, Long Ling, Ziqing Qian, Nanxuan Zhao, Nan Cao:
EmotiCrafter: Text-to-Emotional-Image Generation based on Valence-Arousal Model. CoRR abs/2501.05710 (2025)- [i33]Vikas Thamizharasan, Nikitas Chatzis, Iliyan Georgiev, Matthew Fisher, Difan Liu, Nanxuan Zhao, Evangelos Kalogerakis, Michal Lukác:
Mean-Shift Distillation for Diffusion Mode Seeking. CoRR abs/2502.15989 (2025) - [i32]Xi Liu, Chaoyi Zhou, Nanxuan Zhao, Siyu Huang:
Bézier Splatting for Fast and Differentiable Vector Graphics. CoRR abs/2503.16424 (2025) - [i31]Xingxing Zou, Wen Zhang, Nanxuan Zhao:
From Fragment to One Piece: A Survey on AI-Driven Graphic Design. CoRR abs/2503.18641 (2025) - [i30]Junying Wang, Jingyuan Liu, Xin Sun, Krishna Kumar Singh, Zhixin Shu, He Zhang, Jimei Yang, Nanxuan Zhao, Tuanfeng Y. Wang, Simon S. Chen, Ulrich Neumann, Jae Shin Yoon:
Comprehensive Relighting: Generalizable and Consistent Monocular Human Relighting and Harmonization. CoRR abs/2504.03011 (2025) - [i29]Chuer Chen, Shengqi Dang, Yuqi Liu, Nanxuan Zhao, Yang Shi, Nan Cao:
MV-Crafter: An Intelligent System for Music-guided Video Generation. CoRR abs/2504.17267 (2025) - 2024
- [j13]Yiming Qin
, Nanxuan Zhao, Jiale Yang, Siyuan Pan, Bin Sheng, Rynson W. H. Lau:
UrbanEvolver: Function-Aware Urban Layout Regeneration. Int. J. Comput. Vis. 132(9): 3408-3427 (2024) - [j12]Sucheng Ren, Nanxuan Zhao, Qiang Wen, Guoqiang Han, Shengfeng He:
Unifying Global-Local Representations in Salient Object Detection With Transformers. IEEE Trans. Emerg. Top. Comput. Intell. 8(4): 2870-2879 (2024) - [j11]Peiying Zhang, Nanxuan Zhao, Jing Liao:
Text-to-Vector Generation with Neural Path Representation. ACM Trans. Graph. 43(4): 36:1-36:13 (2024) - [j10]Jundan Luo, Nanxuan Zhao, Wenbin Li, Christian Richardt:
CRefNet: Learning Consistent Reflectance Estimation With a Decoder-Sharing Transformer. IEEE Trans. Vis. Comput. Graph. 30(9): 6407-6420 (2024) - [c30]Yiming Qin, Nanxuan Zhao, Bin Sheng, Rynson W. H. Lau:
Text2City: One-Stage Text-Driven Urban Layout Regeneration. AAAI 2024: 4578-4586 - [c29]Yang Shi, Yechun Peng, Shengqi Dang, Nanxuan Zhao, Nan Cao:
Personalizing Products with Stylized Head Portraits for Self-Expression. CHI 2024: 184:1-184:18 - [c28]Yuhao Liu, Zhanghan Ke, Fang Liu, Nanxuan Zhao, Rynson W. H. Lau:
Diff-Plugin: Revitalizing Details for Diffusion-Based Low-Level Tasks. CVPR 2024: 4197-4208 - [c27]Vikas Thamizharasan, Difan Liu, Matthew Fisher, Nanxuan Zhao, Evangelos Kalogerakis, Michal Lukác:
NIVeL: Neural Implicit Vector Layers for Text-to-Vector Generation. CVPR 2024: 4589-4597 - [c26]Mohammad Amin Shabani, Zhaowen Wang, Difan Liu, Nanxuan Zhao, Jimei Yang, Yasutaka Furukawa:
Visual Layout Composer: Image-Vector Dual Diffusion Model for Design Layout Generation. CVPR 2024: 9222-9231 - [c25]Kai Zhang, Sai Bi, Hao Tan, Yuanbo Xiangli, Nanxuan Zhao, Kalyan Sunkavalli, Zexiang Xu:
GS-LRM: Large Reconstruction Model for 3D Gaussian Splatting. ECCV (22) 2024: 1-19 - [c24]Yuming Jiang, Nanxuan Zhao, Qing Liu, Krishna Kumar Singh, Shuai Yang, Chen Change Loy, Ziwei Liu:
GroupDiff: Diffusion-Based Group Portrait Editing. ECCV (34) 2024: 221-239 - [c23]Jing Gu, Nanxuan Zhao, Wei Xiong, Qing Liu, Zhifei Zhang, He Zhang, Jianming Zhang, Hyunjoon Jung, Yilin Wang, Xin Eric Wang:
SwapAnything: Enabling Arbitrary Object Swapping in Personalized Image Editing. ECCV (32) 2024: 402-418 - [c22]Samyadeep Basu, Nanxuan Zhao, Vlad I. Morariu, Soheil Feizi, Varun Manjunatha:
Localizing and Editing Knowledge In Text-to-Image Generative Models. ICLR 2024 - [c21]Samyadeep Basu, Keivan Rezaei, Priyatham Kattakinda, Vlad I. Morariu, Nanxuan Zhao, Ryan A. Rossi, Varun Manjunatha, Soheil Feizi:
On Mechanistic Knowledge Localization in Text-to-Image Generative Models. ICML 2024 - [c20]Jundan Luo, Duygu Ceylan, Jae Shin Yoon, Nanxuan Zhao, Julien Philip, Anna Frühstück, Wenbin Li, Christian Richardt, Tuanfeng Y. Wang:
IntrinsicDiffusion: Joint Intrinsic Layers from Latent Diffusion Models. SIGGRAPH (Conference Paper Track) 2024: 74 - [i28]Maham Tanveer, Yizhi Wang, Ruiqi Wang, Nanxuan Zhao, Ali Mahdavi-Amiri, Hao Zhang:
AnaMoDiff: 2D Analogical Motion Diffusion via Disentangled Denoising. CoRR abs/2402.03549 (2024) - [i27]Yuhao Liu, Fang Liu, Zhanghan Ke, Nanxuan Zhao, Rynson W. H. Lau:
Diff-Plugin: Revitalizing Details for Diffusion-based Low-level Tasks. CoRR abs/2403.00644 (2024) - [i26]Jing Gu, Yilin Wang, Nanxuan Zhao, Wei Xiong, Qing Liu, Zhifei Zhang, He Zhang, Jianming Zhang, Hyunjoon Jung, Xin Eric Wang:
SwapAnything: Enabling Arbitrary Object Swapping in Personalized Visual Editing. CoRR abs/2404.05717 (2024) - [i25]Kai Zhang, Sai Bi, Hao Tan, Yuanbo Xiangli, Nanxuan Zhao, Kalyan Sunkavalli, Zexiang Xu:
GS-LRM: Large Reconstruction Model for 3D Gaussian Splatting. CoRR abs/2404.19702 (2024) - [i24]Peiying Zhang, Nanxuan Zhao, Jing Liao:
Text-to-Vector Generation with Neural Path Representation. CoRR abs/2405.10317 (2024) - [i23]Vikas Thamizharasan, Difan Liu, Matthew Fisher, Nanxuan Zhao, Evangelos Kalogerakis, Michal Lukác:
NIVeL: Neural Implicit Vector Layers for Text-to-Vector Generation. CoRR abs/2405.15217 (2024) - [i22]Yufan Zhou, Ruiyi Zhang, Kaizhi Zheng, Nanxuan Zhao, Jiuxiang Gu, Zichao Wang, Xin Eric Wang, Tong Sun:
Toffee: Efficient Million-Scale Dataset Construction for Subject-Driven Text-to-Image Generation. CoRR abs/2406.09305 (2024) - [i21]Yuming Jiang, Nanxuan Zhao, Qing Liu, Krishna Kumar Singh, Shuai Yang, Chen Change Loy, Ziwei Liu:
GroupDiff: Diffusion-based Group Portrait Editing. CoRR abs/2409.14379 (2024) - [i20]Yusuf Dalva, Yijun Li, Qing Liu, Nanxuan Zhao, Jianming Zhang, Zhe Lin, Pinar Yanardag:
LayerFusion: Harmonized Multi-Layer Text-to-Image Generation with Generative Priors. CoRR abs/2412.04460 (2024) - [i19]Xi Chen, Zhifei Zhang, He Zhang, Yuqian Zhou, Soo Ye Kim, Qing Liu, Yijun Li, Jianming Zhang, Nanxuan Zhao, Yilin Wang, Hui Ding, Zhe Lin, Hengshuang Zhao:
UniReal: Universal Image Generation and Editing via Learning Real-world Dynamics. CoRR abs/2412.07774 (2024) - [i18]Yufan Zhou, Ruiyi Zhang, Jiuxiang Gu, Nanxuan Zhao, Jing Shi, Tong Sun:
SUGAR: Subject-Driven Video Customization in a Zero-Shot Manner. CoRR abs/2412.10533 (2024) - [i17]Maham Tanveer, Yang Zhou, Simon Niklaus, Ali Mahdavi-Amiri, Hao Zhang, Krishna Kumar Singh, Nanxuan Zhao:
MotionBridge: Dynamic Video Inbetweening with Flexible Controls. CoRR abs/2412.13190 (2024) - 2023
- [j9]Zhansheng Li, Nanxuan Zhao, Zongwei Wu, Yihua Dai, Junle Wang, Yanqing Jing, Shengfeng He:
Reference-based Screentone Transfer via Pattern Correspondence and Regularization. Comput. Graph. Forum 42(6) (2023) - [j8]Chenshu Xu, Xuemiao Xu, Nanxuan Zhao, Weiwei Cai, Huaidong Zhang, Chengze Li, Xueting Liu:
Panel-Page-Aware Comic Genre Understanding. IEEE Trans. Image Process. 32: 2636-2648 (2023) - [j7]Zhansheng Li, Yangyang Xu, Nanxuan Zhao, Yang Zhou, Yongtuo Liu, Dahua Lin, Shengfeng He:
Parsing-Conditioned Anime Translation: A New Dataset and Method. ACM Trans. Graph. 42(3): 30:1-30:14 (2023) - [j6]Zhenwei Wang, Nanxuan Zhao, Gerhard P. Hancke, Rynson W. H. Lau:
Language-based Photo Color Adjustment for Graphic Designs. ACM Trans. Graph. 42(4): 101:1-101:16 (2023) - [c19]Nanxuan Zhao, Jianbo Jiao, Weidi Xie, Dahua Lin:
Cali-NCE: Boosting Cross-modal Video Representation Learning with Calibrated Alignment. CVPR Workshops 2023: 6317-6327 - [c18]Linning Xu, Yuanbo Xiangli, Sida Peng, Xingang Pan, Nanxuan Zhao, Christian Theobalt, Bo Dai, Dahua Lin:
Grid-guided Neural Radiance Fields for Large Urban Scenes. CVPR 2023: 8296-8306 - [c17]Zhanghan Ke, Yuhao Liu, Lei Zhu, Nanxuan Zhao, Rynson W. H. Lau:
Neural Preset for Color Style Transfer. CVPR 2023: 14173-14182 - [c16]Yuanbo Xiangli, Linning Xu, Xingang Pan, Nanxuan Zhao, Bo Dai, Dahua Lin:
AssetField: Assets Mining and Reconfiguration in Ground Feature Plane Representation. ICCV 2023: 3228-3238 - [c15]Nanxuan Zhao, Shengqi Dang, Hexun Lin, Yang Shi, Nan Cao:
Bring Clipart to Life. ICCV 2023: 23284-23293 - [c14]Ziyu Yang, Sucheng Ren, Zongwei Wu, Nanxuan Zhao, Junle Wang, Jing Qin, Shengfeng He:
NPF-200: A Multi-Modal Eye Fixation Dataset and Method for Non-Photorealistic Videos. ACM Multimedia 2023: 2294-2304 - [c13]Jing Gu, Yilin Wang, Nanxuan Zhao, Tsu-Jui Fu, Wei Xiong, Qing Liu, Zhifei Zhang, He Zhang, Jianming Zhang, Hyunjoon Jung, Xin Eric Wang:
PHOTOSWAP: Personalized Subject Swapping in Images. NeurIPS 2023 - [c12]Anran Lin, Nanxuan Zhao, Shuliang Ning, Yuda Qiu, Baoyuan Wang, Xiaoguang Han:
FashionTex: Controllable Virtual Try-on with Text and Texture. SIGGRAPH (Conference Paper Track) 2023: 56:1-56:9 - [c11]Peiying Zhang, Nanxuan Zhao, Jing Liao:
Text-Guided Vector Graphics Customization. SIGGRAPH Asia 2023: 54:1-54:11 - [i16]Zhanghan Ke, Yuhao Liu, Lei Zhu, Nanxuan Zhao, Rynson W. H. Lau:
Neural Preset for Color Style Transfer. CoRR abs/2303.13511 (2023) - [i15]Yuanbo Xiangli, Linning Xu, Xingang Pan, Nanxuan Zhao, Bo Dai, Dahua Lin:
AssetField: Assets Mining and Reconfiguration in Ground Feature Plane Representation. CoRR abs/2303.13953 (2023) - [i14]Linning Xu, Yuanbo Xiangli, Sida Peng, Xingang Pan, Nanxuan Zhao, Christian Theobalt, Bo Dai, Dahua Lin:
Grid-guided Neural Radiance Fields for Large Urban Scenes. CoRR abs/2303.14001 (2023) - [i13]Anran Lin, Nanxuan Zhao, Shuliang Ning, Yuda Qiu, Baoyuan Wang, Xiaoguang Han:
FashionTex: Controllable Virtual Try-on with Text and Texture. CoRR abs/2305.04451 (2023) - [i12]Jing Gu, Yilin Wang, Nanxuan Zhao, Tsu-Jui Fu, Wei Xiong, Qing Liu, Zhifei Zhang, He Zhang, Jianming Zhang, Hyunjoon Jung, Xin Eric Wang:
Photoswap: Personalized Subject Swapping in Images. CoRR abs/2305.18286 (2023) - [i11]Zhenwei Wang, Nanxuan Zhao, Gerhard P. Hancke, Rynson W. H. Lau:
Language-based Photo Color Adjustment for Graphic Designs. CoRR abs/2308.03059 (2023) - [i10]Ziyu Yang, Sucheng Ren, Zongwei Wu, Nanxuan Zhao, Junle Wang, Jing Qin, Shengfeng He:
NPF-200: A Multi-Modal Eye Fixation Dataset and Method for Non-Photorealistic Videos. CoRR abs/2308.12163 (2023) - [i9]Peiying Zhang, Nanxuan Zhao, Jing Liao:
Text-Guided Vector Graphics Customization. CoRR abs/2309.12302 (2023) - [i8]Samyadeep Basu, Nanxuan Zhao, Vlad I. Morariu, Soheil Feizi, Varun Manjunatha:
Localizing and Editing Knowledge in Text-to-Image Generative Models. CoRR abs/2310.13730 (2023) - 2022
- [j5]Zongwei Wu, Liangyu Chai, Nanxuan Zhao, Bailin Deng, Yongtuo Liu, Qiang Wen, Junle Wang, Shengfeng He:
Make Your Own Sprites: Aliasing-Aware and Cell-Controllable Pixelization. ACM Trans. Graph. 41(6): 193:1-193:16 (2022) - [j4]Zhitong Huang, Nanxuan Zhao, Jing Liao:
UniColor: A Unified Framework for Multi-Modal Colorization with Transformer. ACM Trans. Graph. 41(6): 205:1-205:16 (2022) - [c10]Haodong Duan, Nanxuan Zhao, Kai Chen, Dahua Lin:
TransRank: Self-supervised Video Representation Learning via Ranking-based Transformation Recognition. CVPR 2022: 2990-3000 - [c9]Yuanbo Xiangli, Linning Xu, Xingang Pan, Nanxuan Zhao, Anyi Rao, Christian Theobalt, Bo Dai, Dahua Lin:
BungeeNeRF: Progressive Neural Radiance Field for Extreme Multi-scale Scene Rendering. ECCV (32) 2022: 106-122 - [i7]Haodong Duan, Nanxuan Zhao, Kai Chen, Dahua Lin:
TransRank: Self-supervised Video Representation Learning via Ranking-based Transformation Recognition. CoRR abs/2205.02028 (2022) - [i6]Zhitong Huang, Nanxuan Zhao, Jing Liao:
UniColor: A Unified Framework for Multi-Modal Colorization with Transformer. CoRR abs/2209.11223 (2022) - 2021
- [j3]Nanxuan Zhao, Quanlong Zheng, Jing Liao, Ying Cao, Hanspeter Pfister, Rynson W. H. Lau:
Selective Region-based Photo Color Adjustment for Graphic Designs. ACM Trans. Graph. 40(2): 17:1-17:16 (2021) - [c8]Nanxuan Zhao, Zhirong Wu, Rynson W. H. Lau, Stephen Lin:
Distilling Localization for Self-Supervised Representation Learning. AAAI 2021: 10990-10998 - [c7]Haoxin Chen, Hanjie Wu, Nanxuan Zhao, Sucheng Ren, Shengfeng He:
Delving Deep Into Many-to-Many Attention for Few-Shot Video Object Segmentation. CVPR 2021: 14040-14049 - [c6]Linning Xu, Yuanbo Xiangli, Anyi Rao, Nanxuan Zhao, Bo Dai, Ziwei Liu, Dahua Lin:
BlockPlanner: City Block Generation with Vectorized Graph Representation. ICCV 2021: 5057-5066 - [c5]Ailing Zeng, Xiao Sun, Lei Yang, Nanxuan Zhao, Minhao Liu, Qiang Xu:
Learning Skeletal Graph Neural Networks for Hard 3D Pose Estimation. ICCV 2021: 11416-11425 - [c4]Nanxuan Zhao, Zhirong Wu, Rynson W. H. Lau, Stephen Lin:
What Makes Instance Discrimination Good for Transfer Learning? ICLR 2021 - [i5]Sucheng Ren, Qiang Wen, Nanxuan Zhao, Guoqiang Han, Shengfeng He:
Unifying Global-Local Representations in Salient Object Detection with Transformer. CoRR abs/2108.02759 (2021) - [i4]Ailing Zeng, Xiao Sun, Lei Yang, Nanxuan Zhao, Minhao Liu, Qiang Xu:
Learning Skeletal Graph Neural Networks for Hard 3D Pose Estimation. CoRR abs/2108.07181 (2021) - [i3]Yuanbo Xiangli, Linning Xu, Xingang Pan, Nanxuan Zhao, Anyi Rao, Christian Theobalt, Bo Dai, Dahua Lin:
CityNeRF: Building NeRF at City Scale. CoRR abs/2112.05504 (2021) - 2020
- [c3]Min Lu, Chufeng Wang, Joel Lanir, Nanxuan Zhao, Hanspeter Pfister, Daniel Cohen-Or, Hui Huang:
Exploring Visual Information Flows in Infographics. CHI 2020: 1-12 - [c2]Nanxuan Zhao, Nam Wook Kim, Laura Mariah Herman, Hanspeter Pfister, Rynson W. H. Lau, Jose Echevarria, Zoya Bylinskii:
ICONATE: Automatic Compound Icon Generation and Ideation. CHI 2020: 1-13 - [c1]Camilo Fosco, Anelise Newman, Pat Sukhum, Yun Bin Zhang, Nanxuan Zhao, Aude Oliva, Zoya Bylinskii:
How Much Time Do You Have? Modeling Multi-Duration Saliency. CVPR 2020: 4472-4481 - [i2]Nanxuan Zhao, Zhirong Wu, Rynson W. H. Lau, Stephen Lin:
Distilling Localization for Self-Supervised Representation Learning. CoRR abs/2004.06638 (2020) - [i1]Nanxuan Zhao, Zhirong Wu, Rynson W. H. Lau, Stephen Lin:
What makes instance discrimination good for transfer learning? CoRR abs/2006.06606 (2020)
2010 – 2019
- 2018
- [j2]Nanxuan Zhao, Ying Cao, Rynson W. H. Lau:
Modeling Fonts in Context: Font Prediction on Web Designs. Comput. Graph. Forum 37(7): 385-395 (2018) - [j1]Nanxuan Zhao, Ying Cao, Rynson W. H. Lau:
What characterizes personalities of graphic designs? ACM Trans. Graph. 37(4): 116 (2018)
Coauthor Index
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