Modeling Fonts in Context: Font Prediction on Web Designs. - Nanxuan Zhao; Ying Cao 001; Rynson W. H. Lau (Comput. Graph. Forum, 2018)

What characterizes personalities of graphic designs? - Nanxuan Zhao; Ying Cao 001; Rynson W. H. Lau (ACM Trans. Graph., 2018)

Exploring Visual Information Flows in Infographics. - Min Lu 002; Chufeng Wang; Joel Lanir; Nanxuan Zhao; Hanspeter Pfister; Daniel Cohen-Or; Hui Huang 004 (CHI, 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 (CHI, 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 (CVPR, 2020)

Distilling Localization for Self-Supervised Representation Learning. - Nanxuan Zhao; Zhirong Wu; Rynson W. H. Lau; Stephen Lin 001 (AAAI, 2021)

Delving Deep Into Many-to-Many Attention for Few-Shot Video Object Segmentation. - Haoxin Chen; Hanjie Wu; Nanxuan Zhao; Sucheng Ren; Shengfeng He (CVPR, 2021)

BlockPlanner: City Block Generation with Vectorized Graph Representation. - Linning Xu; Yuanbo Xiangli; Anyi Rao; Nanxuan Zhao; Bo Dai 002; Ziwei Liu 002; Dahua Lin (ICCV, 2021)

Learning Skeletal Graph Neural Networks for Hard 3D Pose Estimation. - Ailing Zeng; Xiao Sun 001; Lei Yang; Nanxuan Zhao; Minhao Liu; Qiang Xu 001 (ICCV, 2021)

What Makes Instance Discrimination Good for Transfer Learning? - Nanxuan Zhao; Zhirong Wu; Rynson W. H. Lau; Stephen Lin 001 (ICLR, 2021)

Unifying Global-Local Representations in Salient Object Detection with Transformer. - Sucheng Ren; Qiang Wen; Nanxuan Zhao; Guoqiang Han; Shengfeng He (CoRR, 2021)

CityNeRF: Building NeRF at City Scale. - Yuanbo Xiangli; Linning Xu; Xingang Pan; Nanxuan Zhao; Anyi Rao; Christian Theobalt; Bo Dai 002; Dahua Lin (CoRR, 2021)

Selective Region-based Photo Color Adjustment for Graphic Designs. - Nanxuan Zhao; Quanlong Zheng; Jing Liao 001; Ying Cao 001; Hanspeter Pfister; Rynson W. H. Lau (ACM Trans. Graph., 2021)

TransRank: Self-supervised Video Representation Learning via Ranking-based Transformation Recognition. - Haodong Duan; Nanxuan Zhao; Kai Chen 026; Dahua Lin (CVPR, 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 002; Dahua Lin (ECCV (32), 2022)

UniColor: A Unified Framework for Multi-Modal Colorization with Transformer. - Zhitong Huang; Nanxuan Zhao; Jing Liao 001 (ACM Trans. Graph., 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)

Neural Preset for Color Style Transfer. - Zhanghan Ke; Yuhao Liu 001; Lei Zhu 016; Nanxuan Zhao; Rynson W. H. Lau (CVPR, 2023)

Grid-guided Neural Radiance Fields for Large Urban Scenes. - Linning Xu; Yuanbo Xiangli; Sida Peng; Xingang Pan; Nanxuan Zhao; Christian Theobalt; Bo Dai 002; Dahua Lin (CVPR, 2023)

Cali-NCE: Boosting Cross-modal Video Representation Learning with Calibrated Alignment. - Nanxuan Zhao; Jianbo Jiao; Weidi Xie; Dahua Lin (CVPR Workshops, 2023)

AssetField: Assets Mining and Reconfiguration in Ground Feature Plane Representation. - Yuanbo Xiangli; Linning Xu; Xingang Pan; Nanxuan Zhao; Bo Dai 002; Dahua Lin (ICCV, 2023)

Bring Clipart to Life. - Nanxuan Zhao; Shengqi Dang; Hexun Lin; Yang Shi 007; Nan Cao 001 (ICCV, 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 001; Shengfeng He (ACM Multimedia, 2023)

PHOTOSWAP: Personalized Subject Swapping in Images. - Jing Gu; Yilin Wang 002; Nanxuan Zhao; Tsu-Jui Fu; Wei Xiong 008; Qing Liu 017; Zhifei Zhang; He Zhang 004; Jianming Zhang 001; Hyunjoon Jung; Xin Eric Wang (NeurIPS, 2023)

FashionTex: Controllable Virtual Try-on with Text and Texture. - Anran Lin; Nanxuan Zhao; Shuliang Ning; Yuda Qiu; Baoyuan Wang; Xiaoguang Han 001 (SIGGRAPH (Conference Paper Track), 2023)

Text-Guided Vector Graphics Customization. - Peiying Zhang 002; Nanxuan Zhao; Jing Liao 001 (SIGGRAPH Asia, 2023)

Panel-Page-Aware Comic Genre Understanding. - Chenshu Xu; Xuemiao Xu; Nanxuan Zhao; Weiwei Cai; Huaidong Zhang; Chengze Li; Xueting Liu 001 (IEEE Trans. Image Process., 2023)

Parsing-Conditioned Anime Translation: A New Dataset and Method. - Zhansheng Li; Yangyang Xu; Nanxuan Zhao; Yang Zhou 007; Yongtuo Liu; Dahua Lin; Shengfeng He (ACM Trans. Graph., 2023)

Language-based Photo Color Adjustment for Graphic Designs. - Zhenwei Wang 003; Nanxuan Zhao; Gerhard P. Hancke 002; Rynson W. H. Lau (ACM Trans. Graph., 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, 2023)

Text2City: One-Stage Text-Driven Urban Layout Regeneration. - Yiming Qin; Nanxuan Zhao; Bin Sheng 001; Rynson W. H. Lau (AAAI, 2024)

Personalizing Products with Stylized Head Portraits for Self-Expression. - Yang Shi 007; Yechun Peng; Shengqi Dang; Nanxuan Zhao; Nan Cao 001 (CHI, 2024)

Diff-Plugin: Revitalizing Details for Diffusion-Based Low-Level Tasks. - Yuhao Liu 001; Zhanghan Ke; Fang Liu 033; Nanxuan Zhao; Rynson W. H. Lau (CVPR, 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 (CVPR, 2024)

NIVeL: Neural Implicit Vector Layers for Text-to-Vector Generation. - Vikas Thamizharasan; Difan Liu; Matthew Fisher; Nanxuan Zhao; Evangelos Kalogerakis; Michal Lukác (CVPR, 2024)

SwapAnything: Enabling Arbitrary Object Swapping in Personalized Image Editing. - Jing Gu; Nanxuan Zhao; Wei Xiong 008; Qing Liu 017; Zhifei Zhang; He Zhang 004; Jianming Zhang 001; Hyunjoon Jung; Yilin Wang 002; Xin Eric Wang (ECCV (32), 2024)

GroupDiff: Diffusion-Based Group Portrait Editing. - Yuming Jiang 003; Nanxuan Zhao; Qing Liu 017; Krishna Kumar Singh; Shuai Yang 001; Chen Change Loy; Ziwei Liu 002 (ECCV (34), 2024)

GS-LRM: Large Reconstruction Model for 3D Gaussian Splatting. - Kai Zhang 045; Sai Bi; Hao Tan 002; Yuanbo Xiangli; Nanxuan Zhao; Kalyan Sunkavalli; Zexiang Xu (ECCV (22), 2024)

Localizing and Editing Knowledge In Text-to-Image Generative Models. - Samyadeep Basu; Nanxuan Zhao; Vlad I. Morariu; Soheil Feizi; Varun Manjunatha (ICLR, 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 (ICML, 2024)

IntrinsicDiffusion: Joint Intrinsic Layers from Latent Diffusion Models. - Jundan Luo; Duygu Ceylan; Jae Shin Yoon; Nanxuan Zhao; Julien Philip; Anna Frühstück; Wenbin Li 002; Christian Richardt; Tuanfeng Y. Wang (SIGGRAPH (Conference Paper Track), 2024)

AnaMoDiff: 2D Analogical Motion Diffusion via Disentangled Denoising. - Maham Tanveer; Yizhi Wang; Ruiqi Wang; Nanxuan Zhao; Ali Mahdavi-Amiri; Hao Zhang 002 (CoRR, 2024)

SwapAnything: Enabling Arbitrary Object Swapping in Personalized Visual Editing. - Jing Gu; Yilin Wang 002; Nanxuan Zhao; Wei Xiong 008; Qing Liu 017; Zhifei Zhang; He Zhang 004; Jianming Zhang 001; Hyunjoon Jung; Xin Eric Wang (CoRR, 2024)

Toffee: Efficient Million-Scale Dataset Construction for Subject-Driven Text-to-Image Generation. - Yufan Zhou 001; Ruiyi Zhang 002; Kaizhi Zheng; Nanxuan Zhao; Jiuxiang Gu; Zichao Wang 001; Xin Eric Wang; Tong Sun 005 (CoRR, 2024)

LayerFusion: Harmonized Multi-Layer Text-to-Image Generation with Generative Priors. - Yusuf Dalva; Yijun Li 001; Qing Liu 017; Nanxuan Zhao; Jianming Zhang 001; Zhe Lin 001; Pinar Yanardag (CoRR, 2024)

SUGAR: Subject-Driven Video Customization in a Zero-Shot Manner. - Yufan Zhou 001; Ruiyi Zhang 002; Jiuxiang Gu; Nanxuan Zhao; Jing Shi 005; Tong Sun 005 (CoRR, 2024)

MotionBridge: Dynamic Video Inbetweening with Flexible Controls. - Maham Tanveer; Yang Zhou 007; Simon Niklaus; Ali Mahdavi-Amiri; Hao Zhang 002; Krishna Kumar Singh; Nanxuan Zhao (CoRR, 2024)

Text-to-Vector Generation with Neural Path Representation. - Peiying Zhang 002; Nanxuan Zhao; Jing Liao 001 (ACM Trans. Graph., 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., 2024)

UrbanEvolver: Function-Aware Urban Layout Regeneration. - Yiming Qin; Nanxuan Zhao; Jiale Yang; Siyuan Pan; Bin Sheng 001; Rynson W. H. Lau (Int. J. Comput. Vis., 2024)

CRefNet: Learning Consistent Reflectance Estimation With a Decoder-Sharing Transformer. - Jundan Luo; Nanxuan Zhao; Wenbin Li 002; Christian Richardt (IEEE Trans. Vis. Comput. Graph., 2024)

UniReal: Universal Image Generation and Editing via Learning Real-world Dynamics. - Xi Chen; Zhifei Zhang; He Zhang 004; Yuqian Zhou; Soo Ye Kim; Qing Liu 017; Yijun Li 001; Jianming Zhang 001; Nanxuan Zhao; Yilin Wang 002; Hui Ding; Zhe Lin 001; et al. (CVPR, 2025)

Comprehensive Relighting: Generalizable and Consistent Monocular Human Relighting and Harmonization. - Junying Wang; Jingyuan Liu; Xin Sun 014; Krishna Kumar Singh; Zhixin Shu; He Zhang 004; Jimei Yang; Nanxuan Zhao; Tuanfeng Y. Wang; Simon S. Chen; Ulrich Neumann; Jae Shin Yoon (CVPR, 2025)

EmotiCrafter: Text-to-Emotional-Image Generation based on Valence-Arousal Model. - Yi He; Shengqi Dang; Long Ling; Ziqing Qian; Nanxuan Zhao; Nan Cao 001 (CoRR, 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, 2025)

Bézier Splatting for Fast and Differentiable Vector Graphics. - Xi Liu; Chaoyi Zhou; Nanxuan Zhao; Siyu Huang (CoRR, 2025)

From Fragment to One Piece: A Survey on AI-Driven Graphic Design. - Xingxing Zou; Wen Zhang; Nanxuan Zhao (CoRR, 2025)

MV-Crafter: An Intelligent System for Music-guided Video Generation. - Chuer Chen; Shengqi Dang; Yuqi Liu; Nanxuan Zhao; Yang Shi 007; Nan Cao 001 (CoRR, 2025)

Style Customization of Text-to-Vector Generation with Image Diffusion Priors. - Peiying Zhang 002; Nanxuan Zhao; Jing Liao 001 (CoRR, 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 001; Nanxuan Zhao (CoRR, 2025)

Beyond Simple Edits: X-Planner for Complex Instruction-Based Image Editing. - Chun-Hsiao Yeh; Yilin Wang 002; Nanxuan Zhao; Richard Zhang 002; Yuheng Li; Yi Ma; Krishna Kumar Singh (CoRR, 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, 2025)