GenCAMO: Scene-Graph Contextual Decoupling for Environment-aware and Mask-free Camouflage Image-Dense Annotation Generation

• URL: http://arxiv.org/abs/2601.01181v1
• Date: Sat, 03 Jan 2026 13:13:51 GMT
• Title: GenCAMO: Scene-Graph Contextual Decoupling for Environment-aware and Mask-free Camouflage Image-Dense Annotation Generation
• Authors: Chenglizhao Chen, Shaojiang Yuan, Xiaoxue Lu, Mengke Song, Jia Song, Zhenyu Wu, Wenfeng Song, Shuai Li,
• Abstract summary: GenCAMO is an environment-aware and mask-free generative framework that produces high-fidelity camouflage image-dense annotations.<n>We present GenCAMO, an environment-aware and mask-free generative framework that produces high-fidelity camouflage image-dense annotations.
• Score: 32.630064141052166
• License: http://creativecommons.org/licenses/by/4.0/
• Abstract: Conceal dense prediction (CDP), especially RGB-D camouflage object detection and open-vocabulary camouflage object segmentation, plays a crucial role in advancing the understanding and reasoning of complex camouflage scenes. However, high-quality and large-scale camouflage datasets with dense annotation remain scarce due to expensive data collection and labeling costs. To address this challenge, we explore leveraging generative models to synthesize realistic camouflage image-dense data for training CDP models with fine-grained representations, prior knowledge, and auxiliary reasoning. Concretely, our contributions are threefold: (i) we introduce GenCAMO-DB, a large-scale camouflage dataset with multi-modal annotations, including depth maps, scene graphs, attribute descriptions, and text prompts; (ii) we present GenCAMO, an environment-aware and mask-free generative framework that produces high-fidelity camouflage image-dense annotations; (iii) extensive experiments across multiple modalities demonstrate that GenCAMO significantly improves dense prediction performance on complex camouflage scenes by providing high-quality synthetic data. The code and datasets will be released after paper acceptance.

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