Zhao, Nanxuan

28 publications

NeurIPS 2025 Bézier Splatting for Fast and Differentiable Vector Graphics Rendering Xi Liu, Chaoyi Zhou, Nanxuan Zhao, Siyu Huang

CVPR 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

ICCV 2025 EmotiCrafter: Text-to-Emotional-Image Generation Based on Valence-Arousal Model Shengqi Dang, Yi He, Long Ling, Ziqing Qian, Nanxuan Zhao, Nan Cao

TMLR 2025 Let Your Light Shine: Foreground Portrait Matting via Deep Flash Priors Tianyi Xiang, Yangyang Xu, Qingxuan Hu, Chenyi Zi, Nanxuan Zhao, Junle Wang, Shengfeng He

ICCV 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

CVPR 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

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

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

ECCV 2024 GroupDiff: Diffusion-Based Group Portrait Editing Yuming Jiang, Nanxuan Zhao, Qing Liu, Krishna Kumar Singh, Shuai Yang, Chen Change Loy, Ziwei Liu

ICLR 2024 Localizing and Editing Knowledge in Text-to-Image Generative Models Samyadeep Basu, Nanxuan Zhao, Vlad I Morariu, Soheil Feizi, Varun Manjunatha

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

ICML 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

ECCV 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

AAAI 2024 Text2City: One-Stage Text-Driven Urban Layout Regeneration Yiming Qin, Nanxuan Zhao, Bin Sheng, 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

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

ICCV 2023 Bring Clipart to Life Nanxuan Zhao, Shengqi Dang, Hexun Lin, Yang Shi, Nan Cao

CVPRW 2023 Cali-NCE: Boosting Cross-Modal Video Representation Learning with Calibrated Alignment Nanxuan Zhao, Jianbo Jiao, Weidi Xie, Dahua Lin

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, Dahua Lin

CVPR 2023 Neural Preset for Color Style Transfer Zhanghan Ke, Yuhao Liu, Lei Zhu, Nanxuan Zhao, Rynson W.H. Lau

NeurIPS 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

ECCV 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

CVPR 2022 TransRank: Self-Supervised Video Representation Learning via Ranking-Based Transformation Recognition Haodong Duan, Nanxuan Zhao, Kai Chen, Dahua Lin

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

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

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

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

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