Egor Zakharov

I am a Staff Research Scientist at Meta Reality Labs in Pittsburgh, where I lead a five-person research pod working on human-centric 4D reconstruction.

I received my Ph.D. from Skoltech, under the supervision of Victor Lempitsky. During my Ph.D., I also was a Lead Research Scientist at Samsung AI Center. After that, I did a Postdoc at ETH Zurich AIT lab

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Research

Representative papers are highlighted.

	GenLCA: 3D Diffusion for Full-Body Avatars from In-the-Wild Videos Yiqian Wu, Rawal Khirodkar, Egor Zakharov, Timur Bagautdinov, Lei Xiao, Zhaoen Su, Shunsuke Saito, Xiaogang Jin, Junxuan Li European Conference on Computer Vision (ECCV), 2026 (Spotlight) project page / arXiv 3D diffusion for full-body avatars learned from in-the-wild videos.
	GeoRelight: Learning Joint Geometrical Relighting and Reconstruction with Flexible Multi-Modal Diffusion Transformers Yuxuan Xue, Ruofan Liang, Egor Zakharov, Timur Bagautdinov, Chen Cao, Giljoo Nam, Shunsuke Saito, Gerard Pons-Moll, Javier Romero IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2026 (Highlight) top 3.6% of the submissions project page / arXiv Joint relighting and reconstruction with multi-modal diffusion transformers.
	Realiz3D: 3D Generation Made Photorealistic via Domain-Aware Learning Ido Sobol, Kihyuk Sohn, Yoav Blum, Egor Zakharov, Max Bluvstein, Andrea Vedaldi, Or Litany IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2026 project page / arXiv Making 3D generation photorealistic via domain-aware learning.
	Large-scale Codec Avatars: The Unreasonable Effectiveness of Large-scale Avatar Pretraining Junxuan Li, Rawal Khirodkar, Chengan He, …, Egor Zakharov, …, Shunsuke Saito IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2026 project page / arXiv Large-scale pretraining for codec avatars.
	GeomHair: Reconstruction of Hair Strands from Colorless 3D Scans Rachmadio Noval Lazuardi, Artem Sevastopolsky, Egor Zakharov, Matthias Nießner, Vanessa Sklyarova CVPR Workshops (PhysHuman), 2026 project page / arXiv Strand-based hair reconstruction directly from colorless 3D scans; introduces the Strands400 dataset.
	CamLit: Unified Video Diffusion with Explicit Camera and Lighting Control Zhiyi Kuang, Chengan He, Egor Zakharov, Yuxuan Xue, Shunsuke Saito, Olivier Maury, Timur Bagautdinov, Youyi Zheng, Giljoo Nam arXiv, 2026 project page / arXiv Unified video diffusion for joint novel-view synthesis and relighting from a single image.
	FactorPortrait: Controllable Portrait Animation via Disentangled Expression, Pose, and Viewpoint Jiapeng Tang, Kai Li, Chengxiang Yin, Liuhao Ge, Fei Jiang, Jiu Xu, Matthias Nießner, Christian Häne, Timur Bagautdinov, Egor Zakharov, Peihong Guo arXiv, 2025 arXiv View-, pose-, and expression-conditional video diffusion for portrait animation.
	Im2Haircut: Single-view Strand-based Hair Reconstruction for Human Avatars Vanessa Sklyarova, Egor Zakharov, Malte Prinzler, Giorgio Becherini, Michael J. Black, Justus Thies International Conference on Computer Vision (ICCV), 2025 project page / arXiv Single-view strand-based hair reconstruction for human avatars.
	Joker: Conditional 3D Head Synthesis with Extreme Facial Expressions Malte Prinzler, Egor Zakharov, Vanessa Sklyarova, Berna Kabadayi, Justus Thies International Conference on 3D Vision (3DV), 2025 project page / video / arXiv Conditional synthesis of 3D human heads with extreme expressions.
	VOODOO XP: Expressive One-Shot Head Reenactment for VR Telepresence Phong Tran, Egor Zakharov, Long Nhat Ho, Liwen Hu, Adilbek Karmanov, Aviral Agarwal, McLean Goldwhite, Ariana Bermudez Venegas, Anh Tuan Tran, Hao Li ACM Transactions on Graphics (SIGGRAPH Asia), 2024 project page / video / arXiv Highly expressive and animatable 3D human head avatars for VR telepresence.
	VOODOO VR: One-Shot Neural Avatars for Virtual Reality Phong Tran, Egor Zakharov, Long Nhat Ho, Adilbek Karmanov, Maksat Kengeskanov, Ariana Bermudez Venegas, McLean Goldwhite, Aviral Agarwal, Liwen Hu, Anh Tuan Tran, Otmar Hilliges, Hao Li SIGGRAPH Real-Time Live!, 2024 SIGGRAPH archive / video Live on-stage demonstration of real-time one-shot neural avatars in VR.
	Human Hair Reconstruction with Strand-Aligned 3D Gaussians Egor Zakharov, Vanessa Sklyarova, Michael J. Black, Giljoo Nam Justus Thies Otmar Hilliges ECCV, 2024 project page / video / arXiv Reconstruction of highly personalized and realistically rendered strand-based hairstyles from a monocular video.
	VOODOO 3D: Volumetric Portrait Disentanglement for One-Shot 3D Head Reenactment Phong Tran, Egor Zakharov, Long Nhat Ho, Anh Tuan Tran, Liwen Hu, Hao Li CVPR, 2024 project page / video / arXiv Instant and animatable 3D human head avatars from a single image with disentangled expression reenactment.
	HAAR: Text-Conditioned Generative Model of 3D Strand-based Human Hairstyles Vanessa Sklyarova, Egor Zakharov, Otmar Hilliges, Michael J. Black, Justus Thies CVPR, 2024 project page / video / arXiv Text-guided diffusion model for strand-based hairstyles generation & editing.
	Neural Haircut: Prior-Guided Strand-Based Hair Reconstruction Vanessa Sklyarova, Jenya Chelishev, Igor Medvedev, Andreea Dogaru, Victor Lempitsky, Egor Zakharov ICCV, 2023 (Oral Presentation) top 1.8% of the submissions project page / video / arXiv Reconstructing personalized and realistic hairstyles in the form of 3D strands from a smartphone video.
	Sphere-Guided Training of Neural Implicit Surfaces Andreea Dogaru, Andrei-Timotei Ardelean, Savva Ignatyev, Egor Zakharov, Evgeny Burnaev CVPR, 2023 project page / arXiv We improve existing surface reconstruction methods using a plug-and-play hybrid representation, achieving up-to 18% improvement in reconstruction quality and approx. 2x faster convergence speed.
	Realistic One-shot Mesh-based Head Avatars Taras Khakhulin, Vanessa Sklyarova, Victor Lempitsky, Egor Zakharov ECCV, 2022 project page / arXiv We create animatable 3D head reconstructions in the form of a rigged mesh from a single image by leveraging facial priors and differentiable rendering of in-the-wild video data.
	MegaPortraits: One-shot Megapixel Neural Head Avatars Nikita Drobyshev, Jenya Chelishev, Taras Khakhulin, Aleksei Ivakhnenko, Victor Lempitsky, Egor Zakharov ACM MM, 2022 project page / arXiv Learning disentangled expression and appearance representations for high-resolution portrait animation.
	Fast Bi-layer Neural Synthesis of One-Shot Realistic Head Avatars Egor Zakharov, Aleksei Ivakhnenko, Aliaksandra Shysheya, Victor Lempitsky ECCV, 2020 project page / video / arXiv Speeding-up the inference of neural head avatars using an efficient architecture that achieves real-time performance on mobile.
	Few-Shot Adversarial Learning of Realistic Neural Talking Head Models Egor Zakharov, Aliaksandra Shysheya, Egor Burkov, Victor Lempitsky ICCV, 2019 (Oral Presentation) top 4.6% of the submissions video / arXiv Leveraging a large corpus of weakly annotated video data to achieve the realistic synthesis of human heads in a few-shot scenario using meta-learning and GAN-based training.
	Textured Neural Avatars Aliaksandra Shysheya, Egor Zakharov, Kara-Ali Aliev, Renat Bashirov, Egor Burkov, Karim Iskakov, Aleksei Ivakhnenko, Yury Malkov, Igor Pasechnik, Dmitry Ulyanov, Alexander Vakhitov, Victor Lempitsky CVPR, 2019 (Oral Presentation) top 5.6% of the submissions project page / arXiv We integrated classical and neural rendering approaches to achieve high robustness of the avatar renders to the poses and views unseen during training.
	Image Manipulation with Perceptual Discriminators Diana Sungatullina, Egor Zakharov, Dmitry Ulyanov, Victor Lempitsky ECCV, 2018 project page / arXiv We combine the GAN-based and perceptual losses in a single training method, which primarily excels at the task of facial attribute manipulation.

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