Xuanmeng Zhang 张轩梦
I am a final-year Ph.D. student at University of Technology Sydney.
Prior to this, I graduated from Chu Kochen Honors College at Zhejiang University.
I also spent wonderful time at Baidu, Alibaba, ByteDance, and National University Singapore.
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Contact: zhangxuanmeng.zxm@gmail.com
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I am currently seeking job opportunities. If there are suitable positions available, please feel free to reach out. Thank you!
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Research
I'm interested in computer vision, generative models, and 3D vision.
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AvatarStudio: High-Fidelity and Animatable 3D Avatar Creation from Text
Xuanmeng Zhang*, Jianfeng Zhang*, Chenxu Zhang, Jun Hao Liew, Huichao Zhang, Yi Yang, Jiashi Feng
IJCV, 2025
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AvatarStudio can create high-quality avatars from text that are ready for animation.
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Self-ensembling Depth Completion via Density-aware Consistency
Xuanmeng Zhang, Zhedong Zheng, Minyue Jiang, Xiaoqing Ye
PR, 2025
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We propose SEED, a SElf-Ensembling Depth completion framework to enhance the generalization of the model on unlabeled data.
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Multi-view Consistent Generative Adversarial Networks for Compositional 3d-aware Image Synthesis
Xuanmeng Zhang, Zhedong Zheng, Daiheng Gao, Bang Zhang, Yi Yang, Tat-Seng Chua
IJCV, 2023
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We study compositional 3D-aware image synthesis for both single-object and multi-object scenes.
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Getavatar: Generative Textured Meshes for Animatable Human Avatars
Xuanmeng Zhang*, Jianfeng Zhang*, Rohan Chacko, Hongyi Xu, Guoxian Song, Yi Yang, Jiashi Feng
ICCV, 2023
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We introduce GETAvatar, a Generative model that directly generates Explicit Textured 3D meshes for animatable human Avatar, with photo-realistic appearance and fine geometric details.
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Multi-view Consistent Generative Adversarial Networks for 3d-aware Image Synthesis
Xuanmeng Zhang, Zhedong Zheng, Daiheng Gao, Bang Zhang, Pan Pan, Yi Yang
CVPR, 2022
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We propose Multi-View Consistent Generative Adversarial Networks (MVCGAN) for high-quality 3D-aware image synthesis with geometry constraints.
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Robust Vehicle Re-identification via Rigid Structure Prior
Minyue Jiang*, Xuanmeng Zhang*, Yue Yu, Zechen Bai, Zhedong Zheng, Zhigang Wang, Jian Wang, Xiao Tan, Hao Sun, Errui Ding, Yi Yang
CVPR Workshops, 2021
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The runner-up solution of AICITY Challenge Track2 (Vehicle Re-Identification) at CVPR 2021.
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