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2026-02-24 15:31:19
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CoNFies: Controllable Neural Face Avatars CoNFies: Controllable Neural Face Avatars (FG 2023) Heng Yu 1 Koichiro Niinuma 2 László A. Jeni 1 1 Carnegie Mellon University 2 Fujitsu Research of America Paper Demo Code Abstract Neural Radiance Fields (NeRF) are compelling tech- niques for modeling dynamic 3D scenes from 2D image collections. These volumetric representations would be well suited for synthesizing novel facial expressions but for two problems. First, deformable NeRFs are object agnostic and model holistic movement of the scene: they can replay how the motion changes over time, but they cannot alter it in an interpretable way. Second, control- lable volumetric representations typically require either time-consuming manual annotations or 3D supervision to provide semantic meaning to the scene. We propose a controllable neura...
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