ProgressiveAvatars: Progressive Animatable 3D Gaussian Avatars
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Abstract (arXiv)
In practical real-time XR and telepresence applications, network and computing resources fluctuate frequently. Therefore, a progressive 3D representation is needed. To this end, we propose ProgressiveAvatars, a progressive avatar representation built on a hierarchy of 3D Gaussians grown by adaptive implicit subdivision on a template mesh. 3D Gaussians are defined in face-local coordinates to remain animatable under varying expressions and head motion across multiple detail levels. The hierarchy expands when screen-space signals indicate a lack of detail, allocating resources to important areas. Leveraging importance ranking, ProgressiveAvatars supports incremental loading and rendering, adding new Gaussians as they arrive while preserving previous content, thus achieving smooth quality improvements across varying bandwidths. ProgressiveAvatars enables progressive delivery and progressive rendering under fluctuating network bandwidth and varying compute and memory resources.
Key facts. No citing papers in the map yet (data through 7 Oct 2026). Builds on 34 of its 50 references that are in the map. First posted on arXiv 17 Mar 2026.
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References · 34
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- 2023EAGLES: Efficient Accelerated 3D Gaussians with Lightweight EncodingScited by 191
- 2023NeRSemble: Multi-view Radiance Field Reconstruction of Human Headscited by 190
22 more
- 2023GaussianAvatar: Towards Realistic Human Avatar Modeling from a Single Video via Animatable 3D Gaussianscited by 190
- 2024CityGaussian: Real-time High-quality Large-Scale Scene Rendering with Gaussianscited by 190
- 2022PointAvatar: Deformable Point-based Head Avatars from Videoscited by 183
- 2024SplattingAvatar: Realistic Real-Time Human Avatars with Mesh-Embedded Gaussian Splattingcited by 171
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- 2023Drivable 3D Gaussian Avatarscited by 120
- 2022Variable Bitrate Neural Fieldscited by 116
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