Expressive Whole-Body 3D Gaussian Avatar
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Abstract (arXiv)
Facial expression and hand motions are necessary to express our emotions and interact with the world. Nevertheless, most of the 3D human avatars modeled from a casually captured video only support body motions without facial expressions and hand motions.In this work, we present ExAvatar, an expressive whole-body 3D human avatar learned from a short monocular video. We design ExAvatar as a combination of the whole-body parametric mesh model (SMPL-X) and 3D Gaussian Splatting (3DGS). The main challenges are 1) a limited diversity of facial expressions and poses in the video and 2) the absence of 3D observations, such as 3D scans and RGBD images. The limited diversity in the video makes animations with novel facial expressions and poses non-trivial. In addition, the absence of 3D observations could cause significant ambiguity in human parts that are not observed in the video, which can result in noticeable artifacts under novel motions. To address them, we introduce our hybrid representation of the mesh and 3D Gaussians. Our hybrid representation treats each 3D Gaussian as a vertex on the surface with pre-defined connectivity information (i.e., triangle faces) between them following the mesh topology of SMPL-X. It makes our ExAvatar animatable with novel facial expressions by driven by the facial expression space of SMPL-X. In addition, by using connectivity-based regularizers, we significantly reduce artifacts in novel facial expressions and poses.
Key facts. Cited by 89 papers in the map (data through 7 Oct 2026). Builds on 47 of its 54 references that are in the map. First posted on arXiv 31 Jul 2024.
Builds on
47 of 54 references.
References · 47
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- 2023SuGaR: Surface-Aligned Gaussian Splatting for Efficient 3D Mesh Reconstruction and High-Quality Mesh Renderingcited by 611
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- 2022HumanNeRF: Free-viewpoint Rendering of Moving People from Monocular Videocited by 483
- 2020Learning an Animatable Detailed 3D Face Model from In-The-Wild Imagescited by 475
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- 2018Total Capture: A 3D Deformation Model for Tracking Faces, Hands, and Bodiescited by 239
- 2018Video Based Reconstruction of 3D People Modelscited by 237
- 2021AGORA: Avatars in Geography Optimized for Regression Analysiscited by 203
- 20233DGS-Avatar: Animatable Avatars via Deformable 3D Gaussian Splattingcited by 195
- 2023GaussianAvatar: Towards Realistic Human Avatar Modeling from a Single Video via Animatable 3D Gaussianscited by 190
- 2021FrankMocap: A Monocular 3D Whole-Body Pose Estimation System via Regression and Integrationcited by 168
- 2021Neural Human Performer: Learning Generalizable Radiance Fields for Human Performance Renderingcited by 158
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- 2023HUGS: Human Gaussian Splatscited by 154
- 2022PyMAF-X: Towards Well-aligned Full-body Model Regression from Monocular Imagescited by 152
- 2022InstantAvatar: Learning Avatars from Monocular Video in 60 Secondscited by 138
- 2021Collaborative Regression of Expressive Bodies using Moderationcited by 137
- 2023Vid2Avatar: 3D Avatar Reconstruction from Videos in the Wild via Self-supervised Scene Decompositioncited by 134
- 2023One-Stage 3D Whole-Body Mesh Recovery with Component Aware Transformercited by 128
- 2021Animatable Neural Radiance Fields from Monocular RGB Videoscited by 109
- 2021imGHUM: Implicit Generative Models of 3D Human Shape and Articulated Posecited by 102
- 2020Accurate 3D Hand Pose Estimation for Whole-Body 3D Human Mesh Estimationcited by 81
- 2021Driving-Signal Aware Full-Body Avatarscited by 81
- 2023X-Avatar: Expressive Human Avatarscited by 66
- 2022Drivable Volumetric Avatars using Texel-Aligned Featurescited by 62
- 2020DeepHandMesh: A Weakly-supervised Deep Encoder-Decoder Framework for High-fidelity Hand Mesh Modelingcited by 49
- 2023HybrIK-X: Hybrid Analytical-Neural Inverse Kinematics for Whole-body Mesh Recoverycited by 48
- 2024URHand: Universal Relightable Handscited by 17
- 2022MonoNHR: Monocular Neural Human Renderercited by 15
- 2024Authentic Hand Avatar from a Phone Scan via Universal Hand Modelcited by 13
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Citing papers per year: 2024: 2; 2025: 55; 2026: 32.
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