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HERA: Hybrid Explicit Representation for Ultra-Realistic Head Avatars

CVPR 2025 · 3D vision › Gaussian splatting · approach: Animatable Gaussian human avatars · 3 citations (OpenAlex)

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Proposes HERA, a hybrid explicit head-avatar representation that combines a UV-mapped FLAME mesh (texture and opacity maps) with rigged 3D Gaussian splats, rendered via a stable hybrid depth-sorting alpha-blending pipeline in real time.

Problem

Single-primitive representations struggle with head avatars: 3DGS produces blurry or ribbed artifacts on smooth skin with sharp textures, while meshes cannot capture complex geometry such as hair and eyelashes.

Approach

Fuse UV-mapped mesh and 3DGS splats in one differentiable rasterization by alpha-blending their merged depth-sorted fragments, with a stable sorting rule that projects splat centers onto the mesh depth to avoid splats crossing mesh facets.

Key results

Measured effects reported in the paper

What was changedWhereMeasuredEffect
use HERA's hybrid mesh and 3DGS representation instead of GaussianAvatarsHead avatars · Multiface novel view synthesisPSNR: 31.728 -> 33.647Helped
use HERA's hybrid mesh and 3DGS representation instead of GaussianAvatarsHead avatars · Multiface novel expression animationPSNR: 34.250 -> 35.281Helped
add the stable depth sorting strategy (ablation)HERA · Multiface novel view synthesisPSNR: 32.836 -> 33.647Helped
add the stable depth sorting strategy (ablation)HERA · Multiface novel expression animationPSNR: 34.701 -> 35.281Helped

Limitations

Experimental setup

Datasets: Multiface

Benchmarks: Multiface

Metrics: PSNR SSIM LPIPS

Baselines: NeRFBlendShape PointAvatar GaussianBlendshapes GaussianAvatars Mesh based Avatars

Builds on: 3D Gaussian Splatting GaussianAvatars FLAME SUGAR

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