FastAvatar: Instant 3D Gaussian Splatting for Faces from Single Unconstrained Poses

• URL: http://arxiv.org/abs/2508.18389v1
• Date: Mon, 25 Aug 2025 18:29:05 GMT
• Title: FastAvatar: Instant 3D Gaussian Splatting for Faces from Single Unconstrained Poses
• Authors: Hao Liang, Zhixuan Ge, Ashish Tiwari, Soumendu Majee, G. M. Dilshan Godaliyadda, Ashok Veeraraghavan, Guha Balakrishnan,
• Abstract summary: We present FastAvatar, a pose-invariant, feed-forward framework that can generate a 3D Gaussian Splatting (3DGS) model from a single face image in near-instant time (10ms)<n>FastAvatar significantly outperforms existing feed-forward face 3DGS methods in reconstruction quality and runs 1000x faster than per-face optimization methods.
• Score: 23.466614265649373
• License: http://creativecommons.org/licenses/by/4.0/
• Abstract: We present FastAvatar, a pose-invariant, feed-forward framework that can generate a 3D Gaussian Splatting (3DGS) model from a single face image from an arbitrary pose in near-instant time (<10ms). FastAvatar uses a novel encoder-decoder neural network design to achieve both fast fitting and identity preservation regardless of input pose. First, FastAvatar constructs a 3DGS face ``template'' model from a training dataset of faces with multi-view captures. Second, FastAvatar encodes the input face image into an identity-specific and pose-invariant latent embedding, and decodes this embedding to predict residuals to the structural and appearance parameters of each Gaussian in the template 3DGS model. By only inferring residuals in a feed-forward fashion, model inference is fast and robust. FastAvatar significantly outperforms existing feed-forward face 3DGS methods (e.g., GAGAvatar) in reconstruction quality, and runs 1000x faster than per-face optimization methods (e.g., FlashAvatar, GaussianAvatars and GASP). In addition, FastAvatar's novel latent space design supports real-time identity interpolation and attribute editing which is not possible with any existing feed-forward 3DGS face generation framework. FastAvatar's combination of excellent reconstruction quality and speed expands the scope of 3DGS for photorealistic avatar applications in consumer and interactive systems.

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