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TriLayer dataset for layered video generation training

Github: DBL-Diffusion
Paper: DBL-Diffusion

Introduction

img To support learning layered representations that capture both object appearance and object-induced visual effects, TriLayer provides aligned composite, background, and foreground videos for each sample. The composite video contains the original scene with the object present. The foreground video and its alpha matte capture both opaque object regions and semi-transparent effects such as shadows and reflections. The background video contains neither the object nor its associated effects, serving as a clean reference for decomposition and as the input for layered object insertion. Although each sample contains three aligned videos, these are not independent layers; the composite is physically formed by alpha-compositing the foreground layer onto the background. Each sample additionally provides the object name and a VLM-generated caption describing its appearance and associated effects, which serve as conditioning signals for both DBL-Insert and DBL-Decompose. The dataset contains 3,964 video triplets spanning diverse objects, motions, environments, and lighting conditions.

Dataset Info

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License

All data is licensed by Pexels.
To best our knowledge, the Pexels dataset may be used for commercial purposes.
Please read this license page and double-check.

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