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FDNeRF: Few-shot Dynamic Neural Radiance Fields for Face Reconstruction and Expression Editing
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2026-03-07 22:47:05
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FDNeRF: Few-shot Dynamic Neural Radiance Fields for Face Reconstruction and Expression Editing FDNeRF: Few-shot Dynamic Neural Radiance Fields for Face Reconstruction and Expression Editing SIGGRAPH Asia 2022 Jingbo Zhang 1 , Xiaoyu Li 2 , Ziyu Wan 1 , Can Wang 1 , Jing Liao 1 , 1 City University of Hong Kong, 2 Tencent AI Lab Paper arXiv Video Code (released) FDNeRF , a NeRF-based method for 3D face reconstruction with only few-shot dynamic input frames (e.g., 3), enable novel view synthesis, expression editing, and video-driven reenactment tasks. Abstract We propose a Few-shot Dynamic Neural Radiance Field (FDNeRF), the first NeRF-based method capable of reconstruction and expression editing of 3D faces based on a small number of dynamic images. Unlike existing dynamic NeRFs that require dense images as input and can only be modeled for a single identity, our method enables...
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