How Real-Time 3D Digital Clones Stole the Show at the 2026 Spring Festival Gala

The 2026 Spring Festival Gala showcased a breakthrough spatial video system that creates lifelike 3D digital twins in real time, using a 70‑camera 4D reconstruction pipeline, AI‑enhanced rendering, and seamless integration with broadcast and lighting controls to achieve photorealistic, multi‑person performances.

ByteDance SE Lab
ByteDance SE Lab
ByteDance SE Lab
How Real-Time 3D Digital Clones Stole the Show at the 2026 Spring Festival Gala

End‑to‑End Real‑Time Spatial Video Pipeline

The system creates live, photorealistic digital twins that can be rendered from any viewpoint and respond instantly to stage lighting and camera changes.

1. 4D Reconstruction with Multi‑View Capture

Capture stage performance in a spherical studio using 70 industrial‑grade high‑resolution cameras synchronized at high frame rates (e.g., 120 fps). Each camera records color, depth‑related cues, and surface reflectance.

All video streams are uploaded to a cloud service where Volcano Engine’s proprietary 4D Gaussian Splatting (4DGS) algorithm reconstructs a dynamic 4D asset. The output is a time‑varying point‑cloud‑like representation that can be rasterized in real time from arbitrary viewpoints.

2. Real‑Time Rendering and Broadcast Integration

The 4D asset is exported to mainstream game engines such as Unreal Engine or Unity via a standard mesh/texture pipeline.

Virtual camera synchronization: a lightweight bridge receives the broadcast switcher’s camera pose (position, orientation, focal length) over a network protocol (e.g., UDP). The virtual camera in the engine is updated each frame, guaranteeing millisecond‑level alignment with the live broadcast view.

Lighting synchronization: stage lighting is controlled by DMX512. A real‑time translation layer maps each DMX channel to engine light parameters (color, intensity, world position, beam angle). Changes in physical lights are reflected in the virtual scene with sub‑30 ms latency, below the human perception threshold.

Large‑Model Optimizations for Multi‑Person and Close‑Up Scenarios

When ten or more digital humans share the stage, or when the camera captures extreme close‑ups, standard rendering pipelines exceed compute budgets or produce visual artifacts. Two optimizations powered by the Doubao large‑model suite address these issues.

Optimization 1 – Shadow Geometry Simplification

Full‑resolution geometry for each actor would require prohibitive shadow‑map calculations. The Doubao 3D model generates, per frame, an invisible minimal‑mesh shell for each actor that contains only the silhouette needed for shadow casting. During rendering, the engine computes shadows only for these shells, reducing shadow‑computation cost by >70 % while preserving visual fidelity.

Optimization 2 – Normal Prior from Depth Anything v3

Close‑up shots cause traditional lighting reconstruction to produce unstable surface normals, leading to flickering highlights. The Doubao DA3 (Depth Anything v3) model infers a stable per‑frame depth map from the rendered view. Normals are derived from this depth map and supplied as a prior to the lighting solver, ensuring consistent shading and eliminating flicker in high‑detail facial close‑ups.

These components together enable a live workflow that starts from multi‑camera capture, produces a 4D digital twin, and streams it into a real‑time engine that reacts instantly to broadcast camera moves and DMX‑controlled stage lighting, even with multiple high‑detail avatars and extreme close‑up shots.

real-time renderingAI Optimizationdigital twinvirtual production4D reconstructionspatial video
ByteDance SE Lab
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ByteDance SE Lab

Official account of ByteDance SE Lab, sharing research and practical experience in software engineering. Our lab unites researchers and engineers from various domains to accelerate the fusion of software engineering and AI, driving technological progress in every phase of software development.

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