Real-time stereoscopic video communication has long been a goal of immersive telepresence, yet practical systems still require specialized capture rigs or reduce remote users to a single portrait view. We present LentiAvatar, a Gaussian head-avatar system that connects monocular avatar capture with subpixel-encoded glasses-free lenticular display for real-time autostereoscopic communication. From a monocular portrait video, LentiAvatar reconstructs a controllable head avatar and optimizes it for the lateral viewing zones induced by the display. The method uses natural head turns as pseudo-multiview (PMV) supervision to constrain regions that are otherwise weakly observed in monocular training, including hair, ears, jaw contours, and neck boundaries. Reliable side frames are yaw-binned, aligned to virtual cameras, and supervised within a strict head-and-hair domain; contour-aware losses and staged regularization further suppress ghosting, alpha leakage, and depth instability while preserving lateral detail. At runtime, LentiAvatar renders 32 virtual views and encodes them into a 4K lenticular raster with calibrated subpixel-routing masks. The live-tracker prototype sustains 10.65 FPS, and a subject-specific distilled driver raises the same display pipeline to 38.49 FPS.

翻译：实时立体视频通信一直是沉浸式远程呈现的目标，然而实际系统仍需要专门的捕获设备，或将远程用户限制为单一正面视图。我们提出LentiAvatar——一种高斯头部虚拟形象系统，将单目面部捕捉与亚像素编码的无眼镜光栅显示器连接起来，实现实时自动立体通信。LentiAvatar从单目人像视频中重建可控头部虚拟形象，并针对显示器诱导的侧向视区进行优化。该方法利用自然头部转动作为伪多视图（PMV）监督信号，约束单目训练中难以观测的区域（包括头发、耳朵、下颌轮廓和颈部边界）。可靠的侧视帧按偏航角分箱处理、对齐至虚拟相机，并在严格的人脸-头发域内进行监督；轮廓感知损失与分阶段正则化进一步抑制重影、Alpha泄漏和深度不稳定性，同时保留侧向细节。运行时，LentiAvatar渲染32个虚拟视图，并通过校准的亚像素路由掩码将其编码为4K光栅图像。实时追踪原型可维持10.65 FPS，而针对特定主体的蒸馏驱动模块将同一显示管线的帧率提升至38.49 FPS。