GENERATION USING DEPTH-CONDITIONED AUTOENCODER

    公开(公告)号:US20240070884A1

    公开(公告)日:2024-02-29

    申请号:US17896574

    申请日:2022-08-26

    Applicant: ADOBE INC.

    CPC classification number: G06T7/40 G06T5/50 G06T2207/10028

    Abstract: An image processing system uses a depth-conditioned autoencoder to generate a modified image from an input image such that the modified image maintains an overall structure from the input image while modifying textural features. An encoder of the depth-conditioned autoencoder extracts a structure latent code from an input image and depth information for the input image. A generator of the depth-conditioned autoencoder generates a modified image using the structure latent code and a texture latent code. The modified image generated by the depth-conditioned autoencoder includes the structural features from the input image while incorporating textural features of the texture latent code. In some aspects, the autoencoder is depth-conditioned during training by augmenting training images with depth information. The autoencoder is trained to preserve the depth information when generating images.

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