Nanxuan Zhao

According to our database, Nanxuan Zhao authored at least 63 papers between 2018 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

MV-Crafter: An Intelligent System for Music-Guided Video Generation.

Chuer Chen, Shengqi Dang, Yuqi Liu, Nanxuan Zhao, Yang Shi, Nan Cao

ACM Trans. Interact. Intell. Syst., September, 2025

EditVerse: Unifying Image and Video Editing and Generation with In-Context Learning.

Xuan Ju, Tianyu Wang, Yuqian Zhou, He Zhang, Qing Liu, Nanxuan Zhao, Zhifei Zhang, Yijun Li, Yuanhao Cai, Shaoteng Liu, Daniil Pakhomov, Zhe Lin, Soo Ye Kim, Qiang Xu

CoRR, September, 2025

Rethinking Layered Graphic Design Generation with a Top-Down Approach.

Jingye Chen, Zhaowen Wang, Nanxuan Zhao, Li Zhang, Difan Liu, Jimei Yang, Qifeng Chen

CoRR, July, 2025

Beyond Simple Edits: X-Planner for Complex Instruction-Based Image Editing.

Chun-Hsiao Yeh, Yilin Wang, Nanxuan Zhao, Richard Zhang, Yuheng Li, Yi Ma, Krishna Kumar Singh

CoRR, July, 2025

3D-Fixup: Advancing Photo Editing with 3D Priors.

Yen-Chi Cheng, Krishna Kumar Singh, Jae Shin Yoon, Alexander G. Schwing, Liangyan Gui, Matheus Gadelha, Paul Guerrero, Nanxuan Zhao

CoRR, May, 2025

Style Customization of Text-to-Vector Generation with Image Diffusion Priors.

Peiying Zhang, Nanxuan Zhao, Jing Liao

CoRR, May, 2025

From Fragment to One Piece: A Survey on AI-Driven Graphic Design.

Xingxing Zou, Wen Zhang, Nanxuan Zhao

CoRR, March, 2025

Bézier Splatting for Fast and Differentiable Vector Graphics.

Xi Liu, Chaoyi Zhou, Nanxuan Zhao, Siyu Huang

CoRR, March, 2025

Mean-Shift Distillation for Diffusion Mode Seeking.

Vikas Thamizharasan, Nikitas Chatzis, Iliyan Georgiev, Matthew Fisher, Difan Liu, Nanxuan Zhao, Evangelos Kalogerakis, Michal Lukác

CoRR, February, 2025

EmotiCrafter: Text-to-Emotional-Image Generation based on Valence-Arousal Model.

Yi He, Shengqi Dang, Long Ling, Ziqing Qian, Nanxuan Zhao, Nan Cao

CoRR, January, 2025

Comprehensive Relighting: Generalizable and Consistent Monocular Human Relighting and Harmonization.

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

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

UniReal: Universal Image Generation and Editing via Learning Real-world Dynamics.

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

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

2024

CRefNet: Learning Consistent Reflectance Estimation With a Decoder-Sharing Transformer.

Jundan Luo, Nanxuan Zhao, Wenbin Li, Christian Richardt

IEEE Trans. Vis. Comput. Graph., September, 2024

UrbanEvolver: Function-Aware Urban Layout Regeneration.

Yiming Qin, Nanxuan Zhao, Jiale Yang, Siyuan Pan, Bin Sheng, Rynson W. H. Lau

Int. J. Comput. Vis., September, 2024

Unifying Global-Local Representations in Salient Object Detection With Transformers.

Sucheng Ren, Nanxuan Zhao, Qiang Wen, Guoqiang Han, Shengfeng He

IEEE Trans. Emerg. Top. Comput. Intell., August, 2024

Text-to-Vector Generation with Neural Path Representation.

Peiying Zhang, Nanxuan Zhao, Jing Liao

ACM Trans. Graph., July, 2024

MotionBridge: Dynamic Video Inbetweening with Flexible Controls.

Maham Tanveer, Yang Zhou, Simon Niklaus, Ali Mahdavi-Amiri, Hao Zhang, Krishna Kumar Singh, Nanxuan Zhao

CoRR, 2024

SUGAR: Subject-Driven Video Customization in a Zero-Shot Manner.

Yufan Zhou, Ruiyi Zhang, Jiuxiang Gu, Nanxuan Zhao, Jing Shi, Tong Sun

CoRR, 2024

LayerFusion: Harmonized Multi-Layer Text-to-Image Generation with Generative Priors.

Yusuf Dalva, Yijun Li, Qing Liu, Nanxuan Zhao, Jianming Zhang, Zhe Lin, Pinar Yanardag

CoRR, 2024

Toffee: Efficient Million-Scale Dataset Construction for Subject-Driven Text-to-Image Generation.

Yufan Zhou, Ruiyi Zhang, Kaizhi Zheng, Nanxuan Zhao, Jiuxiang Gu, Zichao Wang, Xin Eric Wang, Tong Sun

CoRR, 2024

SwapAnything: Enabling Arbitrary Object Swapping in Personalized Visual Editing.

Jing Gu, Yilin Wang, Nanxuan Zhao, Wei Xiong, Qing Liu, Zhifei Zhang, He Zhang, Jianming Zhang, Hyunjoon Jung, Xin Eric Wang

CoRR, 2024

AnaMoDiff: 2D Analogical Motion Diffusion via Disentangled Denoising.

Maham Tanveer, Yizhi Wang, Ruiqi Wang, Nanxuan Zhao, Ali Mahdavi-Amiri, Hao Zhang

CoRR, 2024

IntrinsicDiffusion: Joint Intrinsic Layers from Latent Diffusion Models.

Jundan Luo, Duygu Ceylan, Jae Shin Yoon, Nanxuan Zhao, Julien Philip, Anna Frühstück, Wenbin Li, Christian Richardt, Tuanfeng Y. Wang

Proceedings of the ACM SIGGRAPH 2024 Conference Papers, 2024

On Mechanistic Knowledge Localization in Text-to-Image Generative Models.

Samyadeep Basu, Keivan Rezaei, Priyatham Kattakinda, Vlad I. Morariu, Nanxuan Zhao, Ryan A. Rossi, Varun Manjunatha, Soheil Feizi

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Localizing and Editing Knowledge In Text-to-Image Generative Models.

Samyadeep Basu, Nanxuan Zhao, Vlad I. Morariu, Soheil Feizi, Varun Manjunatha

Proceedings of the Twelfth International Conference on Learning Representations, 2024

GS-LRM: Large Reconstruction Model for 3D Gaussian Splatting.

Kai Zhang, Sai Bi, Hao Tan, Yuanbo Xiangli, Nanxuan Zhao, Kalyan Sunkavalli, Zexiang Xu

Proceedings of the Computer Vision - ECCV 2024, 2024

GroupDiff: Diffusion-Based Group Portrait Editing.

Yuming Jiang, Nanxuan Zhao, Qing Liu, Krishna Kumar Singh, Shuai Yang, Chen Change Loy, Ziwei Liu

Proceedings of the Computer Vision - ECCV 2024, 2024

SwapAnything: Enabling Arbitrary Object Swapping in Personalized Image Editing.

Jing Gu, Nanxuan Zhao, Wei Xiong, Qing Liu, Zhifei Zhang, He Zhang, Jianming Zhang, Hyunjoon Jung, Yilin Wang, Xin Eric Wang

Proceedings of the Computer Vision - ECCV 2024, 2024

NIVeL: Neural Implicit Vector Layers for Text-to-Vector Generation.

Vikas Thamizharasan, Difan Liu, Matthew Fisher, Nanxuan Zhao, Evangelos Kalogerakis, Michal Lukác

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Visual Layout Composer: Image-Vector Dual Diffusion Model for Design Layout Generation.

Mohammad Amin Shabani, Zhaowen Wang, Difan Liu, Nanxuan Zhao, Jimei Yang, Yasutaka Furukawa

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Diff-Plugin: Revitalizing Details for Diffusion-Based Low-Level Tasks.

Yuhao Liu, Zhanghan Ke, Fang Liu, Nanxuan Zhao, Rynson W. H. Lau

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Personalizing Products with Stylized Head Portraits for Self-Expression.

Yang Shi, Yechun Peng, Shengqi Dang, Nanxuan Zhao, Nan Cao

Proceedings of the CHI Conference on Human Factors in Computing Systems, 2024

Text2City: One-Stage Text-Driven Urban Layout Regeneration.

Yiming Qin, Nanxuan Zhao, Bin Sheng, Rynson W. H. Lau

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Reference-based Screentone Transfer via Pattern Correspondence and Regularization.

Zhansheng Li, Nanxuan Zhao, Zongwei Wu, Yihua Dai, Junle Wang, Yanqing Jing, Shengfeng He

Comput. Graph. Forum, September, 2023

Language-based Photo Color Adjustment for Graphic Designs.

Zhenwei Wang, Nanxuan Zhao, Gerhard P. Hancke, Rynson W. H. Lau

ACM Trans. Graph., August, 2023

Parsing-Conditioned Anime Translation: A New Dataset and Method.

Zhansheng Li, Yangyang Xu, Nanxuan Zhao, Yang Zhou, Yongtuo Liu, Dahua Lin, Shengfeng He

ACM Trans. Graph., 2023

Panel-Page-Aware Comic Genre Understanding.

Chenshu Xu, Xuemiao Xu, Nanxuan Zhao, Weiwei Cai, Huaidong Zhang, Chengze Li, Xueting Liu

IEEE Trans. Image Process., 2023

Text-Guided Vector Graphics Customization.

Peiying Zhang, Nanxuan Zhao, Jing Liao

Proceedings of the SIGGRAPH Asia 2023 Conference Papers, 2023

FashionTex: Controllable Virtual Try-on with Text and Texture.

Anran Lin, Nanxuan Zhao, Shuliang Ning, Yuda Qiu, Baoyuan Wang, Xiaoguang Han

Proceedings of the ACM SIGGRAPH 2023 Conference Proceedings, 2023

PHOTOSWAP: Personalized Subject Swapping in Images.

Jing Gu, Yilin Wang, Nanxuan Zhao, Tsu-Jui Fu, Wei Xiong, Qing Liu, Zhifei Zhang, He Zhang, Jianming Zhang, Hyunjoon Jung, Xin Eric Wang

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

NPF-200: A Multi-Modal Eye Fixation Dataset and Method for Non-Photorealistic Videos.

Ziyu Yang, Sucheng Ren, Zongwei Wu, Nanxuan Zhao, Junle Wang, Jing Qin, Shengfeng He

Proceedings of the 31st ACM International Conference on Multimedia, 2023

Bring Clipart to Life.

Nanxuan Zhao, Shengqi Dang, Hexun Lin, Yang Shi, Nan Cao

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

AssetField: Assets Mining and Reconfiguration in Ground Feature Plane Representation.

Yuanbo Xiangli, Linning Xu, Xingang Pan, Nanxuan Zhao, Bo Dai, Dahua Lin

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Cali-NCE: Boosting Cross-modal Video Representation Learning with Calibrated Alignment.

Nanxuan Zhao, Jianbo Jiao, Weidi Xie, Dahua Lin

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Grid-guided Neural Radiance Fields for Large Urban Scenes.

Linning Xu, Yuanbo Xiangli, Sida Peng, Xingang Pan, Nanxuan Zhao, Christian Theobalt, Bo Dai, Dahua Lin

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Neural Preset for Color Style Transfer.

Zhanghan Ke, Yuhao Liu, Lei Zhu, Nanxuan Zhao, Rynson W. H. Lau

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

Make Your Own Sprites: Aliasing-Aware and Cell-Controllable Pixelization.

Zongwei Wu, Liangyu Chai, Nanxuan Zhao, Bailin Deng, Yongtuo Liu, Qiang Wen, Junle Wang, Shengfeng He

ACM Trans. Graph., 2022

UniColor: A Unified Framework for Multi-Modal Colorization with Transformer.

Zhitong Huang, Nanxuan Zhao, Jing Liao

ACM Trans. Graph., 2022

BungeeNeRF: Progressive Neural Radiance Field for Extreme Multi-scale Scene Rendering.

Yuanbo Xiangli, Linning Xu, Xingang Pan, Nanxuan Zhao, Anyi Rao, Christian Theobalt, Bo Dai, Dahua Lin

Proceedings of the Computer Vision - ECCV 2022, 2022

TransRank: Self-supervised Video Representation Learning via Ranking-based Transformation Recognition.

Haodong Duan, Nanxuan Zhao, Kai Chen, Dahua Lin

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021

Selective Region-based Photo Color Adjustment for Graphic Designs.

Nanxuan Zhao, Quanlong Zheng, Jing Liao, Ying Cao, Hanspeter Pfister, Rynson W. H. Lau

ACM Trans. Graph., 2021

CityNeRF: Building NeRF at City Scale.

Yuanbo Xiangli, Linning Xu, Xingang Pan, Nanxuan Zhao, Anyi Rao, Christian Theobalt, Bo Dai, Dahua Lin

CoRR, 2021

Unifying Global-Local Representations in Salient Object Detection with Transformer.

Sucheng Ren, Qiang Wen, Nanxuan Zhao, Guoqiang Han, Shengfeng He

CoRR, 2021

What Makes Instance Discrimination Good for Transfer Learning?

Nanxuan Zhao, Zhirong Wu, Rynson W. H. Lau, Stephen Lin

Proceedings of the 9th International Conference on Learning Representations, 2021

Learning Skeletal Graph Neural Networks for Hard 3D Pose Estimation.

Ailing Zeng, Xiao Sun, Lei Yang, Nanxuan Zhao, Minhao Liu, Qiang Xu

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

BlockPlanner: City Block Generation with Vectorized Graph Representation.

Linning Xu, Yuanbo Xiangli, Anyi Rao, Nanxuan Zhao, Bo Dai, Ziwei Liu, Dahua Lin

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Delving Deep Into Many-to-Many Attention for Few-Shot Video Object Segmentation.

Haoxin Chen, Hanjie Wu, Nanxuan Zhao, Sucheng Ren, Shengfeng He

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Distilling Localization for Self-Supervised Representation Learning.

Nanxuan Zhao, Zhirong Wu, Rynson W. H. Lau, Stephen Lin

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

How Much Time Do You Have? Modeling Multi-Duration Saliency.

Camilo Fosco, Anelise Newman, Pat Sukhum, Yun Bin Zhang, Nanxuan Zhao, Aude Oliva, Zoya Bylinskii

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

ICONATE: Automatic Compound Icon Generation and Ideation.

Nanxuan Zhao, Nam Wook Kim, Laura Mariah Herman, Hanspeter Pfister, Rynson W. H. Lau, Jose Echevarria, Zoya Bylinskii

Proceedings of the CHI '20: CHI Conference on Human Factors in Computing Systems, 2020

Exploring Visual Information Flows in Infographics.

Min Lu, Chufeng Wang, Joel Lanir, Nanxuan Zhao, Hanspeter Pfister, Daniel Cohen-Or, Hui Huang

Proceedings of the CHI '20: CHI Conference on Human Factors in Computing Systems, 2020

2018

What characterizes personalities of graphic designs?

Nanxuan Zhao, Ying Cao, Rynson W. H. Lau

ACM Trans. Graph., 2018

Modeling Fonts in Context: Font Prediction on Web Designs.

Nanxuan Zhao, Ying Cao, Rynson W. H. Lau

Comput. Graph. Forum, 2018