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公开(公告)号:US20240303873A1
公开(公告)日:2024-09-12
申请号:US18333695
申请日:2023-06-13
申请人: Salesforce, Inc.
发明人: Bram Wallace , Nikhil Naik
CPC分类号: G06T11/00 , G06T5/70 , G06T2207/20084
摘要: Embodiments described herein provide a method of generating an image. the method comprises receiving, via a data interface, a natural language prompt, obtaining a noised image vector, and generating a denoised image vector by a first forward pass of a plurality of iterations of a denoising diffusion model with the noised image vector as an input and conditioned on the natural language prompt. The method further includes calculating a gradient of a loss function based on the denoised image vector with respect to the noised image vector, and updating the noised image vector based on the gradient. A final image is generated using a final forward pass of the denoising diffusion model with the updated noised image vector as an input and conditioned on the natural language prompt.
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公开(公告)号:US20240161248A1
公开(公告)日:2024-05-16
申请号:US18175156
申请日:2023-02-27
申请人: Salesforce Inc.
发明人: Nikhil Naik , Bram Wallace
CPC分类号: G06T5/002 , G06T5/30 , G06T5/50 , G06T2207/20081 , G06T2207/20084 , G06T2207/20216
摘要: Embodiments described herein provide systems and methods for image editing. a first copy and a second copy of an input image are generated; noise is iteratively added to the first copy and the second copy by: updating the first copy based on a first inverted output of a denoising diffusion model (DDM) based on the second copy and a first caption and updating the second copy based on a second inverted output of the DDM based on the first copy and the first caption. A resultant noised image is iteratively denoised by a reverse process using the DDM conditioned on a second caption, thereby producing a final image.
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