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In this work, we present a new method for 3D face reconstruction from sparse-view RGB images.
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Displaced dynamic expression regression for real-time facial tracking and animation
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Real-time face reconstruction from a single depth image
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High-fidelity pose and expression normalization for face recognition in the wild
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Reconstruction of personalized 3d face rigs from monocular video
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End-to-end 3d face reconstruction with deep neural networks
Dou P., Shah S. K., Kakadiaris I. A · 2017
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Learning detailed face reconstruction from a single image
Richardson E., Sela M., Or-El R., Kimmel R · 2017
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Regressing robust and discriminative 3d morphable models with a very deep neural network
Tuan Tran A., Hassner T., Masi I., Medioni G · 2017
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Neural scene representation and rendering
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Joint 3d face reconstruction and dense alignment with position map regression network
Feng Y., Wu F., Shao X., Wang Y., Zhou X · 2018
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Inversefacenet: Deep monocular inverse face rendering
Kim H., Zollhöfer M., Tewari A., Thies J., Richardt C., Theobalt C · 2018
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Stirling/ESRC 3D face database, 2018
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Bisenet: Bilateral segmentation network for real-time semantic segmentation
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Open3d: A modern library for 3d data processing
Zhou Q.-Y., Park J., Koltun V · 2018
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Photo-realistic facial details synthesis from single image
Chen A., Chen Z., Zhang G., Mitchell K., Yu J · 2019
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Accurate 3d face reconstruction with weakly-supervised learning: From single image to image set
Deng Y., Yang J., Xu S., Chen D., Jia Y., Tong X · 2019
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Deepsdf: Learning continuous signed distance functions for shape representation
Park J. J., Florence P., Straub J., Newcombe R., Lovegrove S · 2019
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Learning to regress 3d face shape and expression from an image without 3d supervision
Sanyal S., Bolkart T., Feng H., Black M. J · 2019
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Pifu: Pixel-aligned implicit function for high-resolution clothed human digitization
Saito S., Huang Z., Natsume R., Morishima S., Kanazawa A., Li H · 2019
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Scene representation networks: Continuous 3d-structure-aware neural scene representations
Sitzmann V., Zollhöfer M., Wetzstein G · 2019
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Deep 3d portrait from a single image
Xu S., Yang J., Chen D., Wen F., Deng Y., Jia Y., Tong X · 2020
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Multiview neural surface reconstruction by disentangling geometry and appearance
Yariv L., Kasten Y., Moran D., Galun M., Atzmon M., Ronen B., Lipman Y · 2020
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Facescape: a large-scale high quality 3d face dataset and detailed riggable 3d face prediction
Yang H., Zhu H., Wang Y., Huang M., Shen Q., Yang R., Cao X · 2020
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Reda: reinforced differentiable attribute for 3d face reconstruction
Zhu W., Wu H., Chen Z., Vesdapunt N., Wang B · 2020
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Riggable 3d face reconstruction via in-network optimization
Bai Z., Cui Z., Liu X., Tan P · 2021
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DeepFaceEditing: Deep face generation and editing with disentangled geometry and appearance control
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Tewari A., Bernard F., Garrido P., Bharaj G., Elgharib M., Seidel H.-P., Pérez P., Zollhofer M., Theobalt C · 2019
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Mvf-net: Multi-view 3d face morphable model regression
Wu F., Bao L., Chen Y., Ling Y., Song Y., Li S., Ngan K. N., Liu W · 2019
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Sal: Sign agnostic learning of shapes from raw data
Atzmon M., Lipman Y · 2020
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Deep facial non-rigid multi-view stereo
Bai Z., Cui Z., Rahim J. A., Liu X., Tan P · 2020
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Overfit neural networks as a compact shape representation
Davies T., Nowrouzezahrai D., Jacobson A · 2020
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Curriculum deepsdf
Duan Y., Zhu H., Wang H., Yi L., Nevatia R., Guibas L. J · 2020
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3d morphable face models—past, present, and future
Egger B., Smith W. A., Tewari A., Wuhrer S., Zollhoefer M., Beeler T., Bernard F., Bolkart T., Kortylewski A., Romdhani S., et al · 2020
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Chen S.-Y., Liu F.-L., Lai Y.-K., Rosin P. L., Li C., Fu H., Gao L · 2021
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Deformed implicit field: Modeling 3d shapes with learned dense correspondence
Deng Y., Yang J., Tong X · 2021
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Learning an animatable detailed 3d face model from in-the-wild images
Feng Y., Feng H., Black M. J., Bolkart T · 2021
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Fastnerf: High-fidelity neural rendering at 200fps
Garbin S. J., Kowalski M., Johnson M., Shotton J., Valentin J · 2021
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Dynamic neural radiance fields for monocular 4d facial avatar reconstruction
Gafni G., Thies J., Zollhofer M., Nießner M · 2021
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Neural lumigraph rendering
Kellnhofer P., Jebe L. C., Jones A., Spicer R., Pulli K., Wetzstein G · 2021
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Derf: Decomposed radiance fields
Rebain D., Jiang W., Yazdani S., Li K., Yi K. M., Tagliasacchi A · 2021
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Nelf: Neural light-transport field for portrait view synthesis and relighting
Sun T., Lin K., Bi S., Xu Z., Ramamoorthi R · 2021
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Octfield: Hierarchical implicit functions for 3d modeling
Tang J.-H., Chen W., Yang J., Wang B., Liu S., Yang B., Gao L · 2021
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Neural geometric level of detail: Real-time rendering with implicit 3d shapes
Takikawa T., Litalien J., Yin K., Kreis K., Loop C., Nowrouzezahrai D., Jacobson A., McGuire M., Fidler S · 2021
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Neus: Learning neural implicit surfaces by volume rendering for multi-view reconstruction
Wang P., Liu L., Liu Y., Theobalt C., Komura T., Wang W · 2021
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Volume rendering of neural implicit surfaces
Yariv L., Gu J., Kasten Y., Lipman Y · 2021
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i3dmm: Deep implicit 3d morphable model of human heads
Yenamandra T., Tewari A., Bernard F., Seidel H.-P., Elgharib M., Cremers D., Theobalt C · 2021
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pixelnerf: Neural radiance fields from one or few images
Yu A., Ye V., Tancik M., Kanazawa A · 2021
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Deep implicit templates for 3d shape representation
Zheng Z., Yu T., Dai Q., Liu Y · 2021
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Efficient geometry-aware 3d generative adversarial networks
Chan E. R., Lin C. Z., Chan M. A., Nagano K., Pan B., De Mello S., Gallo O., Guibas L. J., Tremblay J., Khamis S., et al · 2022
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Dist: Rendering deep implicit signed distance function with differentiable sphere tracing
Liu S., Zhang Y., Peng S., Shi B., Pollefeys M., Cui Z · 2028
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