Abstract: Systems and methods for enabling users to generate and utilize neural radiance field models can include obtaining user image data and training one or more neural radiance field models based on the user image data. The systems and methods can include obtaining user images based on a determination that the user images depicted objects of a particular object type. The trained neural radiance field models can then be utilized for view synthesis image generation of the particular user objects.

Abstract: Systems and methods for enabling users to generate and utilize neural radiance field models can include obtaining user image data and training one or more neural radiance field models based on the user image data. The systems and methods can include obtaining user images based on a determination that the user images depicted objects of a particular object type. The trained neural radiance field models can then be utilized for view synthesis image generation of the particular user objects.

Abstract: Systems and methods for generating and providing augmented virtual environments can include obtaining user data, processing the user data to determine a plurality of objects associated with the user data, and generating one or more renderings of the objects in an environment. The renderings can be generated based on a plurality of rendering datasets obtained based on the plurality of determined objects determined to available to a user. The plurality of rendering datasets can include a plurality of three-dimensional meshes and/or a plurality of neural radiance field datasets. The one or more renderings can be provided via an interactive user interface that can allow a user to view renderings of different views of the objects in the environment from different positions and view directions.

Abstract: Systems and methods for providing visual indications of generative model responses can include obtaining a user input and processing the user input with a generative model to generate a model-generated-response. The systems and methods can process the model-generated response and an image of an environment to generate an augmented image. The augmented image can include visual indicators of the model-generated response, which can include annotating the image based on detected features within the image. Generation of the augmented image can include object detection and annotation based on the content of the model-generated response.

Abstract: Systems and methods for generating and providing augmented virtual environments can include obtaining user data, processing the user data to determine a plurality of objects associated with the user data, and generating one or more renderings of the objects in an environment. The renderings can be generated based on a plurality of rendering datasets obtained based on the plurality of determined objects determined to available to a user. The plurality of rendering datasets can include a plurality of three-dimensional meshes and/or a plurality of neural radiance field datasets. The one or more renderings can be provided via an interactive user interface that can allow a user to view renderings of different views of the objects in the environment from different positions and view directions.

Abstract: Systems and methods for providing visual indications of generative model responses can include obtaining a user input and processing the user input with a generative model to generate a model-generated-response. The systems and methods can process the model-generated response and an image of an environment to generate an augmented image. The augmented image can include visual indicators of the model-generated response, which can include annotating the image based on detected features within the image. Generation of the augmented image can include object detection and annotation based on the content of the model-generated response.

Abstract: Systems and methods for diagnostic visual search can include processing a search query with a plurality of classification models to determine a search query intent and predict potential diagnosis. The search query can include an image that is processed to determine the presence of a body part and may be processed to determine if the search query is descriptive of a diagnostic search query. Based on the intent determination, the image may then be processed by a conditions classification model to determine one or more predicted condition classifications. Condition information can then be obtained and provided based on the one or more predicted condition classifications.

Abstract: Systems and methods for enabling users to generate and utilize neural radiance field models can include obtaining user image data and training one or more neural radiance field models based on the user image data. The systems and methods can include obtaining user images based on a determination that the user images depicted objects of a particular object type. The trained neural radiance field models can then be utilized for view synthesis image generation of the particular user objects.

Abstract: Systems and methods for generating and providing augmented virtual environments can include obtaining user data, processing the user data to determine a plurality of objects associated with the user data, and generating one or more renderings of the objects in an environment. The renderings can be generated based on a plurality of rendering datasets obtained based on the plurality of determined objects determined to available to a user. The plurality of rendering datasets can include a plurality of three-dimensional meshes and/or a plurality of neural radiance field datasets. The one or more renderings can be provided via an interactive user interface that can allow a user to view renderings of different views of the objects in the environment from different positions and view directions.

Abstract: Systems and methods for generating and providing augmented virtual environments can include obtaining user data, processing the user data to determine a plurality of objects associated with the user data, and generating one or more renderings of the objects in an environment. The renderings can be generated based on a plurality of rendering datasets obtained based on the plurality of determined objects determined to available to a user. The plurality of rendering datasets can include a plurality of three-dimensional meshes and/or a plurality of neural radiance field datasets. The one or more renderings can be provided via an interactive user interface that can allow a user to view renderings of different views of the objects in the environment from different positions and view directions.