Language-guided Human Motion Synthesis with Atomic Actions
Yuanhao Zhai,
Mingzhen Huang,
Tianyu Luan
et al.
Abstract:As advanced image manipulation techniques emerge, detecting the manipulation becomes increasingly important. Despite the success of recent learning-based approaches for image manipulation detection, they typically require expensive pixel-level annotations to train, while exhibiting degraded performance when testing on images that are differently manipulated compared with training images. To address these limitations, we propose weakly-supervised image manipulation detection, such that only binary imagelevel la… Show more
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