research-article

BakedAvatar: Baking Neural Fields for Real-Time Head Avatar Synthesis

Authors:

Xu-Chuan Chen, and

Yan-Pei CaoAuthors Info & Claims

ACM Transactions on Graphics (TOG), Volume 42, Issue 6

Article No.: 225, Pages 1 - 17

https://doi.org/10.1145/3618399

Published: 05 December 2023 Publication History

Abstract

Synthesizing photorealistic 4D human head avatars from videos is essential for VR/AR, telepresence, and video game applications. Although existing Neural Radiance Fields (NeRF)-based methods achieve high-fidelity results, the computational expense limits their use in real-time applications. To overcome this limitation, we introduce BakedAvatar, a novel representation for real-time neural head avatar synthesis, deployable in a standard polygon rasterization pipeline. Our approach extracts deformable multi-layer meshes from learned isosurfaces of the head and computes expression-, pose-, and view-dependent appearances that can be baked into static textures for efficient rasterization. We thus propose a three-stage pipeline for neural head avatar synthesis, which includes learning continuous deformation, manifold, and radiance fields, extracting layered meshes and textures, and fine-tuning texture details with differential rasterization. Experimental results demonstrate that our representation generates synthesis results of comparable quality to other state-of-the-art methods while significantly reducing the inference time required. We further showcase various head avatar synthesis results from monocular videos, including view synthesis, face reenactment, expression editing, and pose editing, all at interactive frame rates on commodity devices. Source codes and demos are available on our project page.

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Cited By

Medin SLi GDu RGarbin SDavidson PWornell GBeeler TMeka A(2024)FaceFolds: Meshed Radiance Manifolds for Efficient Volumetric Rendering of Dynamic FacesProceedings of the ACM on Computer Graphics and Interactive Techniques10.1145/36513047:1(1-17)Online publication date: 13-May-2024
https://dl.acm.org/doi/10.1145/3651304
Teotia KR MPan XKim HGarrido PElgharib MTheobalt C(2024)HQ3DAvatar: High-quality Implicit 3D Head AvatarACM Transactions on Graphics10.1145/364988943:3(1-24)Online publication date: 9-Apr-2024
https://dl.acm.org/doi/10.1145/3649889

Index Terms

BakedAvatar: Baking Neural Fields for Real-Time Head Avatar Synthesis
1. Computing methodologies
  1. Computer graphics
    1. Image manipulation
      1. Image-based rendering

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BakedSDF: Meshing Neural SDFs for Real-Time View Synthesis
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We present a method for reconstructing high-quality meshes of large unbounded real-world scenes suitable for photorealistic novel view synthesis. We first optimize a hybrid neural volume-surface scene representation designed to have well-behaved level ...
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MERF: Memory-Efficient Radiance Fields for Real-time View Synthesis in Unbounded Scenes

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cover image ACM Transactions on Graphics

ACM Transactions on Graphics Volume 42, Issue 6

December 2023

1565 pages

ISSN:0730-0301

EISSN:1557-7368

DOI:10.1145/3632123

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Published: 05 December 2023

Published in TOG Volume 42, Issue 6

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Cited By

Medin SLi GDu RGarbin SDavidson PWornell GBeeler TMeka A(2024)FaceFolds: Meshed Radiance Manifolds for Efficient Volumetric Rendering of Dynamic FacesProceedings of the ACM on Computer Graphics and Interactive Techniques10.1145/36513047:1(1-17)Online publication date: 13-May-2024
https://dl.acm.org/doi/10.1145/3651304
Teotia KR MPan XKim HGarrido PElgharib MTheobalt C(2024)HQ3DAvatar: High-quality Implicit 3D Head AvatarACM Transactions on Graphics10.1145/364988943:3(1-24)Online publication date: 9-Apr-2024
https://dl.acm.org/doi/10.1145/3649889

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