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AssigneeAdobe Inc.
InventorsSohrab Amirghodsi, Lingzhi Zhang, Zhe Lin, Elya Shechtman, Yuqian Zhou, Connelly Barnes
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Methods, systems, and non-transitory computer readable storage media are disclosed for generating neural network based perceptual artifact segmentations in synthetic digital image content. The disclosed system utilizing neural networks to detect perceptual artifacts in digital images in connection with generating or modifying digital images. The disclosed system determines a digital image including one or more synthetically modified portions. The disclosed system utilizes an artifact segmentation machine-learning model to detect perceptual artifacts in the synthetically modified portion(s). The artifact segmentation machine-learning model is trained to detect perceptual artifacts based on labeled artifact regions of synthetic training digital images. Additionally, the disclosed system utilizes the artifact segmentation machine-learning model in an iterative inpainting process. The disclosed system utilizes one or more digital image inpainting models to inpaint in a digital image. The disclosed system utilizes the artifact segmentation machine-learning model detect perceptual artifacts in the inpainted portions for additional inpainting iterations.
A computer-implemented method comprising:
A system comprising:
A non-transitory computer readable medium comprising instructions that, when executed by at least one processor, cause a computing device to perform operations comprising:
Dependencies are inferred from the claim text.