TriLayer: Explicit Video Layer Modeling for Realistic Object Insertion
postech-cglab · hf · 2026-07-30
Most current video editing systems lack explicit layered video representations, limiting their ability to perform realistic compositing, object reuse, and consistent manipulation. Existing methods rely on implicit inference or per-scene optimization.
To address this limitation, researchers introduced TriLayer, a large-scale triplet video dataset containing aligned composite, background, and foreground videos. The foreground layers include both object appearance and associated visual effects.
Building on this dataset, the authors proposed DBL-Diffusion, a dual-branch diffusion framework that jointly models RGB composites and RGBA foreground layers through shared denoising and cross-branch interaction. The framework is instantiated in two tasks:
- DBL-Insert: For layered object insertion, generating explicit RGBA layers for realistic compositing and flexible post-editing.
- DBL-Decompose: For video layer decomposition, recovering foreground and background layers using triplet supervision.
Experiments demonstrate that explicit layer modeling substantially improves both insertion fidelity and decomposition quality.
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