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arXiv · 2512.19661

Over++: Generative Video Compositing for Layer Interaction Effects

Luchao Qi·Jiaye Wu·Jun Myeong Choi·Cary Phillips·Roni Sengupta·Dan B Goldman
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Abstract

In professional video compositing workflows, artists must manually create environmental interactions-such as shadows, reflections, dust, and splashes-between foreground subjects and background layers. Existing video generative models struggle to preserve the input video while adding such effects, and current video inpainting methods either require costly per-frame masks or yield implausible results. We introduce augmented compositing, a new task that synthesizes realistic, semi-transparent environmental effects conditioned on text prompts and input video layers, while preserving the original scene. To address this task, we present Over++, a video effect generation framework that makes no assumptions about camera pose, scene stationarity, or depth supervision. We construct a paired effect dataset tailored for this task and introduce an unpaired augmentation strategy that preserves text-driven editability. Our method also supports optional mask control and keyframe guidance without requiring dense annotations. Despite training on limited data, Over++ produces diverse and realistic environmental effects and outperforms existing baselines in both effect generation and scene preservation.

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Luchao Qi, Jiaye Wu, Jun Myeong Choi, Cary Phillips, Roni Sengupta, Dan B Goldman. 2025-12-22. Over++: Generative Video Compositing for Layer Interaction Effects. https://arxiv.org/abs/2512.19661

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