Detail-preserving image editing techniques
AssigneeAdobe Inc.
InventorsRatheesh Kalarot, Kevin Wampler, Jingwan Lu, Jakub Fiser, Elya Shechtman, Aliakbar Darabi, Alexandru Vasile Costin
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AssigneeAdobe Inc.
InventorsRatheesh Kalarot, Kevin Wampler, Jingwan Lu, Jakub Fiser, Elya Shechtman, Aliakbar Darabi, Alexandru Vasile Costin
Estimating the term…
Systems and methods combine an input image with an edited image generated using a generator neural network to preserve detail from the original image. A computing system provides an input image to a machine learning model to generate a latent space representation of the input image. The system provides the latent space representation to a generator neural network to generate a generated image. The system generates multiple scale representations of the input image, as well as multiple scale representations of the generated image. The system generates a first combined image based on first scale representations of the images and a first value. The system generates a second combined image based on second scale representations of the images and a second value. The system blends the first combined image with the second combined image to generate an output image.
A computer-implemented method comprising:
A computing system comprising:
A non-transitory computer-readable medium having instructions stored thereon, the instructions executable by a processing device to perform operations comprising:
Dependencies are inferred from the claim text.