Nanxuan Zhao
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
37
Venues
10
Active years
2020–2026
Best venue rank
A*
Where they publish
Papers
37 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | AAAI | 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 |
| 2026 | CHI | Notational Animating: An Interactive Approach to Creating and Editing Animation Keyframes. | Xinyu Shi, Li-Yi Wei, Nanxuan Zhao, Jian Zhao, Rubaiat Habib Kazi |
| 2026 | WACV | Mean-Shift Distillation for Diffusion Mode Seeking. | Vikas Thamizharasan, Nikitas Chatzis, Iliyan Georgiev, Matthew Fisher, Evangelos Kalogerakis, Difan Liu, Nanxuan Zhao, Michal Lukc |
| 2025 | CVPR | 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 |
| 2025 | CVPR | 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 |
| 2025 | ICCV | Rethinking Layered Graphic Design Generation with a Top-Down Approach. | Jingye Chen, Zhaowen Wang, Nanxuan Zhao, Li Zhang, Difan Liu, Jimei Yang, Qifeng Chen |
| 2025 | ICCV | EmotiCrafter: Text-to-Emotional-Image Generation Based on Valence-Arousal Model. | Shengqi Dang, Yi He, Long Ling, Ziqing Qian, Nanxuan Zhao, Nan Cao |
| 2025 | SIGGRAPH | Style Customization of Text-to-Vector Generation with Image Diffusion Priors. | Peiying Zhang, Nanxuan Zhao, Jing Liao |
| 2025 | SIGGRAPH | 3D-Fixup: Advancing Photo Editing with 3D Priors. | Yen-Chi Cheng, Krishna Kumar Singh, Jae Shin Yoon, Alexander G. Schwing, Liang-Yan Gui, Matheus Gadelha, Paul Guerrero, Nanxuan Zhao |
| 2024 | AAAI | Text2City: One-Stage Text-Driven Urban Layout Regeneration. | Yiming Qin, Nanxuan Zhao, Bin Sheng, Rynson W. H. Lau |
| 2024 | CHI | Personalizing Products with Stylized Head Portraits for Self-Expression. | Yang Shi, Yechun Peng, Shengqi Dang, Nanxuan Zhao, Nan Cao |
| 2024 | CVPR | Diff-Plugin: Revitalizing Details for Diffusion-Based Low-Level Tasks. | Yuhao Liu, Zhanghan Ke, Fang Liu, Nanxuan Zhao, Rynson W. H. Lau |
| 2024 | CVPR | 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 |
| 2024 | CVPR | NIVeL: Neural Implicit Vector Layers for Text-to-Vector Generation. | Vikas Thamizharasan, Difan Liu, Matthew Fisher, Nanxuan Zhao, Evangelos Kalogerakis, Michal Lukc |
| 2024 | ECCV | 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 |
| 2024 | ECCV | GroupDiff: Diffusion-Based Group Portrait Editing. | Yuming Jiang, Nanxuan Zhao, Qing Liu, Krishna Kumar Singh, Shuai Yang, Chen Change Loy, Ziwei Liu |
| 2024 | ECCV | GS-LRM: Large Reconstruction Model for 3D Gaussian Splatting. | Kai Zhang, Sai Bi, Hao Tan, Yuanbo Xiangli, Nanxuan Zhao, Kalyan Sunkavalli, Zexiang Xu |
| 2024 | ICLR | Localizing and Editing Knowledge In Text-to-Image Generative Models. | Samyadeep Basu, Nanxuan Zhao, Vlad I. Morariu, Soheil Feizi, Varun Manjunatha |
| 2024 | ICML | 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 |
| 2024 | SIGGRAPH | IntrinsicDiffusion: Joint Intrinsic Layers from Latent Diffusion Models. | Jundan Luo, Duygu Ceylan, Jae Shin Yoon, Nanxuan Zhao, Julien Philip, Anna Frhstck, Wenbin Li, Christian Richardt, Tuanfeng Y. Wang |
| 2023 | CVPR | Neural Preset for Color Style Transfer. | Zhanghan Ke, Yuhao Liu, Lei Zhu, Nanxuan Zhao, Rynson W. H. Lau |
| 2023 | CVPR | 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 |
| 2023 | CVPR | Cali-NCE: Boosting Cross-modal Video Representation Learning with Calibrated Alignment. | Nanxuan Zhao, Jianbo Jiao, Weidi Xie, Dahua Lin |
| 2023 | ICCV | AssetField: Assets Mining and Reconfiguration in Ground Feature Plane Representation. | Yuanbo Xiangli, Linning Xu, Xingang Pan, Nanxuan Zhao, Bo Dai, Dahua Lin |
| 2023 | ICCV | Bring Clipart to Life. | Nanxuan Zhao, Shengqi Dang, Hexun Lin, Yang Shi, Nan Cao |
| 2023 | SIGGRAPH | FashionTex: Controllable Virtual Try-on with Text and Texture. | Anran Lin, Nanxuan Zhao, Shuliang Ning, Yuda Qiu, Baoyuan Wang, Xiaoguang Han |
| 2023 | SiggraphA | Text-Guided Vector Graphics Customization. | Peiying Zhang, Nanxuan Zhao, Jing Liao |
| 2022 | CVPR | TransRank: Self-supervised Video Representation Learning via Ranking-based Transformation Recognition. | Haodong Duan, Nanxuan Zhao, Kai Chen, Dahua Lin |
| 2022 | ECCV | 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 |
| 2021 | AAAI | Distilling Localization for Self-Supervised Representation Learning. | Nanxuan Zhao, Zhirong Wu, Rynson W. H. Lau, Stephen Lin |
| 2021 | CVPR | Delving Deep Into Many-to-Many Attention for Few-Shot Video Object Segmentation. | Haoxin Chen, Hanjie Wu, Nanxuan Zhao, Sucheng Ren, Shengfeng He |
| 2021 | ICCV | BlockPlanner: City Block Generation with Vectorized Graph Representation. | Linning Xu, Yuanbo Xiangli, Anyi Rao, Nanxuan Zhao, Bo Dai, Ziwei Liu, Dahua Lin |
| 2021 | ICCV | Learning Skeletal Graph Neural Networks for Hard 3D Pose Estimation. | Ailing Zeng, Xiao Sun, Lei Yang, Nanxuan Zhao, Minhao Liu, Qiang Xu |
| 2021 | ICLR | What Makes Instance Discrimination Good for Transfer Learning? | Nanxuan Zhao, Zhirong Wu, Rynson W. H. Lau, Stephen Lin |
| 2020 | CHI | Exploring Visual Information Flows in Infographics. | Min Lu, Chufeng Wang, Joel Lanir, Nanxuan Zhao, Hanspeter Pfister, Daniel Cohen-Or, Hui Huang |
| 2020 | CHI | 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 |
| 2020 | CVPR | 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 |