Adobe, Inc.

Xin Yuan

Zhe Lin

Jianming Zhang

Jason Wen Yong Kuen

Baldo Antonio Faieta

Ajinkya Gorakhnath Kale

Yilin Wang

John Philip Collomosse

Systems and methods for multi-modal representation learning are described. One or more embodiments provide a visual representation learning system trained using machine learning techniques. For example, some embodiments of the visual representation learning system are trained using cross-modal training tasks including a combination of intra-modal and inter-modal similarity preservation objectives. In some examples, the training tasks are based on contrastive learning techniques.

Visual-semantic representation learning via multi-modal contrastive training

Systems and methods for image generation are described. Embodiments of the present disclosure receive a text phrase that describes a target image to be generated; generate text features based on the text phrase; retrieve a search image based on the text phrase; and generate the target image using an image generation network based on the text features and the search image.

Retrieval-based text-to-image generation with visual-semantic contrastive representation

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Chicago, IL, United States of America

Xin Yuan