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xuan wang homepage homepage about me news publications xuan wang interaction intelligence lab ant research scientific researcher in interaction intelligence lab ant research focusing on neural rendering and digital avatars hangzhou china email github google scholar i am now a scientific researcher in interaction intelligence lab ant research prior to this i was a senior researcher leading the projects of neural rendering and 2d avatar in tencent ai lab i recieved ph d degree from school of computer science and technology xi an jiaotong university in 2019 under the supervision of prof fei wang and prof jizhong zhao i was a visiting student at nicta in 2015 supervised by dr mathieu salzmann i received master degree from school of software engineering xi an jiaotong university in 2010 and received bachelor degree from department of computer science and technology xi an university of science and technology in 2007 my research interests include neural rendering e g nerf non rigid 3d reconstruction performance capture image synthesis and relevant applications at present we attempt to create the highly photorealistic and fully controllable digital content including human avatar and scenarios internship at interatcion intelligence lab ant research i am looking for the research interns to work on neural rendering e g nerf image synthesis and digital avatars feel free to contact me positions at xi an jiaotong university assoc prof yu guo one of my co authors is looking for ph d students master students resreach assistants and engineers please visit his personal homepage to get more details if you like the template of this homepage welcome to star and fork yi ren s open sourced template version acadhomepage news 2025 07 4 papers with 1 oral paper accepted to iccv 2025 2025 02 5 papers with 1 highlight paper accepted to cvpr 2025 2023 07 1 paper accepted to iccv 2023 2023 05 1 paper accepted to siggraph 2023 2023 03 8 papers with 1 highlight paper accepted to cvpr 2023 selected publications equal contribution star corresponding author dagger papers in 2025 iccv 2025 oral self ensembling gaussian splatting for few shot novel view synthesis chen zhao xuan wang tong zhang saqib javed mathieu salzmann project we observe that 3d gaussian splatting 3dgs excels in novel view synthesis nvs but overfits with sparse views so we propose self ensembling gaussian splatting se gs using an uncertainty aware perturbation strategy to train a main model alongside perturbed models we minimize discrepancies between these models to form a robust ensemble for novel view generation iccv 2025 fine grained 3d gaussian head avatars modeling from static captures via joint reconstruction and registration yuan sun xuan wang cong wang weili zhang yanbo fan yu guo fei wang 3d gaussian based head avatar modeling performs well with enough data but prior based methods lack rendering quality due to limited identity shared representation power we solve this via joint reconstruction and registration of prior based and prior free 3d gaussians merging and post processing for complete avatars with experiments showing better quality and high resolution support iccv 2025 diffuman4d 4d consistent human view synthesis from sparse view videos with spatio temporal diffusion models yudong jin sida peng xuan wang tao xie zhen xu yifan yang yujun shen hujun bao xiaowei zhou project this paper addresses high fidelity novel view synthesis from sparse view human videos while 4d diffusion models tackle limited observations they lack spatio temporal consistency so we propose a sliding iterative denoising process on a latent grid encoding image camera and human poses via alternating spatial temporal denoising enabling sufficient information flow and affordable gpu memory iccv 2025 dgtalker disentangled generative latent space learning for audio driven gaussian talking heads xiaoxi liang yanbo fan qiya yang xuan wang wei gao ge li in this work we investigate generating high fidelity audio driven 3d gaussian talking heads from monocular videos presenting dgtalker a real time high fidelity 3d aware framework that uses gaussian generative priors and latent space navigation to alleviate 3d information lack and overfitting issues we propose a disentangled latent space navigation framework for precise lip and expression control plus masked cross view supervision for robust learning extensive experiments show dgtalker outperforms state of the art methods in visual quality motion accuracy and controllability cvpr 2025 avatarartist open domain 4d avatarization hongyu liu xuan wang dagger ziyu wan yue ma jingye chen yanbo fan yujun shen yibing song qifeng chen dagger project this work focuses on open domain 4d avatarization with the purpose of creating a 4d avatar from a portrait image in an arbitrary style extensive experiments suggest that our model termed avatarartist is capable of producing high quality 4d avatars with strong robustness to various source image domains cvpr 2025 hera hybrid explicit representation for ultra realistic head avatars hongrui cai star yuting xiao star xuan wang dagger jiafei li yudong guo yanbo fan shenghua gao juyong zhang dagger we present a hybrid explicit representation to combine the strengths of different geometric primitives which adaptively models rich texture on smooth surfaces as well as complex geometric structures simultaneously to avoid artifacts created by facet crossing gaussian splats we design a stable depth sorting strategy based on the rasterization results of the mesh and 3dgs we incorporate the proposed hybrid explicit representation into modeling 3d head avatars which render more fidelity images in real time cvpr 2025 3d gaussian head avatars with expressive dynamic appearances by compact tensorial representations yating wang xuan wang ran yi yanbo fan jichen hu jingcheng zhu lizhuang ma project we propose a novel 3d head avatar modeling method that takes into account both dy064 namic texture modeling and spatiotemporal efficiency cvpr 2025 dualtalk dual speaker interaction for 3d talking head conversations ziqiao peng yanbo fan haoyu wu xuan wang hongyan liu jun he zhaoxin fan project we introduce dualtalk a novel unified framework that integrates the dy012 namic behaviors of speakers and listeners to simulate realistic and coherent dialogue interactions cvpr 2025 highlight diffusion based realistic listening head generation via hybrid motion modeling yinuo wang yanbo fan xuan wang yu guo fei wang project in this work we propose a novel listening head generation framework that enables both highly expressive head motions and photorealistic rendering papers in 2024 eccv 2024 real time 3d aware portrait editing from a single image qingyan bai zifan shi yinghao xu hao ouyang qiuyu wang ceyuan yang xuan wang gordon wetzstein yujun shen qifeng chen project this work presents 3dpe a practical method that can efficiently edit a face image following given prompts like reference images or text descriptions in a 3d aware manner siggraph 2024 conf headartist text conditioned 3d head generation with self score distillation hongyu liu xuan wang dagger ziyu wan yujun shen yibing song jing liao qifeng chen dagger project we present headartist for 3d head generation following human language descriptions with a landmark guided controlnet serving as a generative prior we come up with an efficient pipeline that optimizes a parameterized 3d head model under the supervision of the prior distillation itself we call such a process self score distillation ssd aaai 2024 neai a pre convolved representation for plug and play neural illumination fields yiyu zhuang qi zhang xuan wang hao zhu ying feng xiaoyu li ying shan xun cao project we propose a fully differentiable framework named neural ambient illumination neai that uses neural radiance fields nerf as a lighting model to handle complex lighting in a physically based way papers in 2023 iccv 2023 toontalker cross domain face reenactment yuan gong yong zhang xiaodong cun fei yin yanbo fan xuan wang baoyuan wu yujiu yang we propose a novel method for cross domain reenactment without paired data siggraph 2023 conf nofa nerf based one shot facial avatar reconstruction wangbo yu yanbo fan dagger yong zhang dagger xuan wang dagger fei yin yunpeng bai yan pei cao ying shan yang wu zhongqian sun baoyuan wu we propose a one shot 3d facial avatar reconstruction framework which only requires a single source image to reconstruct high fidelity 3d facial avatar by leveraging the rich generative prior of 3d gan and developing an efficient encoder decoder network cvpr 2023 highlight next3d generative neural texture rasterization for 3d aware head avatars jingxiang sun xuan wang lizhen wang xiaoyu li yong zhang hongwen zhang yebin liu project we propose a 3d representation called generative texture rasterized tri planes that learns generative neural textures on top of parametric mesh templates and then projects them into three orthogonal viewed feature planes through rasterization forming a tri plane feature representation for volume rendering cvpr 2023 uv volumes for real time rendering of editable free view human performance yue chen star xuan wang star xingyu chen qi zhang xiaoyu li yu guo jue wang fei wang project we propose the uv volumes a new approach that can render an editable free view video of a human performer in real time cvpr 2023 l2g nerf local to global registration for bundle adjusting neural radiance fields yue chen star xingyu chen star xuan wang dagger qi zhang yu guo dagger ying shan fei wang project we propose l2g nerf a local to global registration method for bundle adjusting neural radiance fields first a pixel wise flexible alignment followed by a framewise constrained parametric alignment cvpr 2023 high fidelity facial avatar reconstruction from monocular video with generative priors yunpeng bai yanbo fan xuan wang yong zhang jingxiang sun chun yuan ying shan we propose a new method for nerf based facial avatar reconstruction that utilizes 3d aware generative prior different from existing works that depend on a conditional deformation field for dynamic modeling we propose to learn a personalized generative prior which is formulated as a local and low dimensional subspace in the latent space of 3d gan cvpr 2023 sadtalker learning realistic 3d motion coefficients for stylized audio driven single image talking face animation wenxuan zhang xiaodong cun xuan wang yong zhang xi shen yu guo ying shan fei wang project we present sadtalker which generates 3d motion coefficients head pose expression of the 3dmm from audio and implicitly modulates a novel 3d aware face render for talking head generation cvpr 2023 3d gan inversion with facial symmetry prior fei yin yong zhang xuan wang tengfei wang xiaoyu li yuan gong yanbo fan xiaodong cun ying shan cengiz oztireli yujiu yang project we propose a novel method to promote 3d gan inversion by introducing facial symmetry prior cvpr 2023 local implicit ray function for generalizable radiance field representation xin huang qi zhang ying feng xiaoyu li xuan wang qing wang project for generalisable neural radiance fileds we propose lirf to aggregate the information from conical frustums to construct a ray cvpr 2023 high fidelity clothed avatar reconstruction from a single image tingting liao xiaomei zhang yuliang xiu hongwei yi xudong liu guo jun qi yong zhang xuan wang xiangyu zhu zhen lei project by combining the advantages of the high accuracy of optimization based methods and the efficiency of learning based methods we propose a coarse tofine way to realize a high fidelity clothed avatar reconstruction car from a single image papers in 2022 siggraph asia 2022 tog ide 3d interactive disentangled editing for high resolution 3d aware portrait synthesis jingxiang sun xuan wang yichun shi lizhen wang jue wang yebin liu project we propose the ide 3d a locally disentangled semantics aware 3d face generator which supports interactive 3d face synthesis and local editing our method supports various free view portrait editing tasks with the state of the art performance in photorealism and efficiency siggraph asia 2022 tog neural parameterization for dynamic human head editing li ma xiaoyu li jing liao xuan wang qi zhang jue wang pedro sander project neural parameterization nep a hybrid representation that provides the advantages of both implicit and explicit methods siggraph asia 2022 conf videoretalking audio based lip synchronization for talking head video editing in the wild kun cheng xiaodong cun yong zhang menghan xia fei yin mingrui zhu xuan wang jue wang nannan wang project videoretalking a new system to edit the faces of a real world talking head video according to an input audio producing a high quality and lip syncing output video even with a different emotion eccv 2022 styleheat one shot high resolution editable talking face generation via pre trained stylegan fei yin yong zhang xiaodong cun mingdeng cao yanbo fan xuan wang qingyan bai baoyuan wu jue wang yujiu yang project we propose a novel unified framework based on a pre trained stylegan that enables a set of powerful functionalities i e high resolution video generation disentangled control by driving video or audio and flexible face editing cvpr 2022 fenerf face editing in neural radiance fields jingxiang sun xuan wang dagger yong zhang xiaoyu li qi zhang yebin liu jue wang project the first portrait image generator that is locally editable and strictly view consistent cvpr 2022 hdr nerf high dynamic range neural radiance fields xin huang qi zhang ying feng hongdong li xuan wang qing wang project high dynamic range neural radiance fields hdr nerf to recover an hdr radiance field from a set of low dynamic range ldr views with different exposures cvpr 2022 hallucinated neural radiance fields in the wild xingyu chen qi zhang xiaoyu li yue chen feng ying xuan wang jue wang project an appearance hallucination module to handle time varying appearances and transfer them to novel views cvpr 2022 deblur nerf neural radiance fields from blurry images li ma xiaoyu li jing liao qi zhang xuan wang jue wang pedro v sander project the first method that can recover a sharp nerf from blurry input early papers iccv 2019 on boosting single frame 3d human pose estimation via monocular videos zhi li star xuan wang star fei wang peilin jiang the method that exploits monocular videos to complement the training dataset for the singleimage 3d human pose estimation tasks eccv 2016 template free 3d reconstruction of poorly textured nonrigid surfaces xuan wang mathieu salzmann fei wang jizhong zhao project a template free approach to reconstructing a poorly textured deformable surface