Efficient 3D Implicit Head Avatar With Mesh-Anchored Hash Table Blendshapes
Ziqian Bai, Feitong Tan, Sean Fanello, Rohit Pandey, Mingsong Dou, Shichen Liu, Ping Tan, Yinda Zhang
2024年份
3顶会引用
摘要
Figure 1. Visual Quality vs. Rendering Speed comparisons between our monocular 3D head avatars and prior state-of-the-art methods including NeRFBlendshape [14], INSTA [42], PointAvatar [41] and MonoAvatar [5]. Our approach achieves real-time rendering (i.e. > 30 mean FPS) with a 512 × 512 resolution, while produces comparable visual quality comparing to prior SOTAs [5], and gives significantly better results on challenging expressions than prior efficient avatars [14, 41, 42]. Webpage augmentedperception.github.io/monoavatar-plus
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引用它的顶会 Paper3
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- IM-Portrait: Learning 3D-aware Video Diffusion for Photorealistic Talking Heads from Monocular VideosCYuan Li, Ziqian Bai, Feitong Tan, Zhaopeng Cui 等CVPR 2025
它引用的顶会 Paper20
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- Neural Sparse Voxel FieldsLingjie Liu, Jiatao Gu, Kyaw Zaw Lin, Tat-Seng Chua 等NeurIPS 2020 · 被引用 1,535 次
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