Abstract: The present disclosure relates to linking electronic activities between systems of record based on a comparison of electronic activity signals and system of record signals. Indexed files can be generated for each of a plurality of record objects of a system of record. An electronic activity may be accessed. A search query may be generated. Match scores for the record objects may be generated. An association between an electronic activity and a record object may be stored. Instructions to link to the electronic activity to the record object may be transmitted.

Abstract: The present disclosure relates to systems and methods for automatic generation of summaries for record objects using one or more large language models. The system can identify a plurality of electronic activities matched to a record object of a customer relationship management system. The system can generate one or more text strings from the plurality of electronic activities using the large language models. The system can generate a first set of topics by inputting a first set of text strings into the large language models. The system can generate a second set of topics by inputting a first subset of text strings of the first set of text strings into the large language models. The system can transmit one or more topics to a computing device for presentation.

Abstract: The present disclosure relates to systems and methods for automatic generation of summaries for record objects using one or more large language models. The system can identify a plurality of electronic activities matched to a record object of a customer relationship management system. The system can generate one or more text strings from the plurality of electronic activities using the large language models. The system can generate a first set of topics by inputting a first set of text strings into the large language models. The system can generate a second set of topics by inputting a first subset of text strings of the first set of text strings into the large language models. The system can transmit one or more topics to a computing device for presentation.

Abstract: The present disclosure relates to systems and methods for automatic generation of datasets for record objects using one or more large language models. A system can identify a plurality of electronic activities. The system can generate, using one or more large language models, a first set of text strings from the electronic activities. The system can store, in one or more data structures, a first association between the first set of text strings and the record object. The system can identify a second electronic activity. The system can generate, using the one or more large language models, a second set of text strings based on data corresponding to the second electronic activity and the first set of text strings. The system can store, in the one or more data structures, a second association between the second set of text strings and the record object.

Abstract: The present disclosure relates to systems and methods for automatic generation of summaries for record objects using one or more large language models. The system can identify a plurality of electronic activities matched to a record object of a customer relationship management system. The system can generate one or more text strings from the plurality of electronic activities using the large language models. The system can generate a first set of topics by inputting a first set of text strings into the large language models. The system can generate a second set of topics by inputting a first subset of text strings of the first set of text strings into the large language models. The system can transmit one or more topics to a computing device for presentation.

Abstract: The present disclosure relates to linking electronic activities between systems of record based on a comparison of electronic activity signals and system of record signals. Indexed files can be generated for each of a plurality of record objects of a system of record. An electronic activity may be accessed. A search query may be generated. Match scores for the record objects may be generated. An association between an electronic activity and a record object may be stored. Instructions to link to the electronic activity to the record object may be transmitted.

Abstract: The present disclosure relates to linking electronic activities between systems of record based on a comparison of electronic activity signals and system of record signals. Indexed files can be generated for each of a plurality of record objects of a system of record. An electronic activity may be accessed. A search query may be generated. Match scores for the record objects may be generated. An association between an electronic activity and a record object may be stored. Instructions to link to the electronic activity to the record object may be transmitted.

Abstract: The present disclosure relates to linking electronic activities between systems of record based on a comparison of electronic activity signals and system of record signals. Indexed files can be generated for each of a plurality of record objects of a system of record. An electronic activity may be accessed. A search query may be generated. Match scores for the record objects may be generated. An association between an electronic activity and a record object may be stored. Instructions to link to the electronic activity to the record object may be transmitted.

Abstract: A user profile may be generating from a source accordingly to embodiments of the present disclosure. In some embodiments, a process (e.g., implemented by a client) includes obtaining a set of commits associated with a user from a source code version control system, extracting at least one signal from the set of commits, obfuscating the signal(s), and outputting the obfuscated signal(s). In some embodiments, a process (e.g., implemented by a server) includes receiving a signal associated with source code, where the signal is extracted from a commit obtained via a source code version control system. The process further includes aggregating the signal with at least one other signal, generating a user profile based at least on part on the aggregated signals, and rendering the user profile on a graphical user interface.

Abstract: Constructing a user's face model using particle filters is disclosed, including: using a first particle filter to generate a new plurality of sets of extrinsic camera information particles corresponding to respective ones of a plurality of images based at least in part on a selected face model particle; selecting a subset of the new plurality of sets of extrinsic camera information particles corresponding to respective ones of the plurality of images; and using a second particle filter to generate a new plurality of face model particles corresponding to the plurality of images based at least in part on the selected subset of the new plurality of sets of extrinsic camera information particles.

Abstract: Constructing a user's face model using particle filters is disclosed, including: using a first particle filter to generate a new plurality of sets of extrinsic camera information particles corresponding to respective ones of a plurality of images based at least in part on a selected face model particle; selecting a subset of the new plurality of sets of extrinsic camera information particles corresponding to respective ones of the plurality of images; and using a second particle filter to generate a new plurality of face model particles corresponding to the plurality of images based at least in part on the selected subset of the new plurality of sets of extrinsic camera information particles.

Abstract: Constructing a user's face model using particle filters is disclosed, including: using a first particle filter to generate a new plurality of sets of extrinsic camera information particles corresponding to respective ones of a plurality of images based at least in part on a selected face model particle; selecting a subset of the new plurality of sets of extrinsic camera information particles corresponding to respective ones of the plurality of images; and using a second particle filter to generate a new plurality of face model particles corresponding to the plurality of images based at least in part on the selected subset of the new plurality of sets of extrinsic camera information particles.

Abstract: Rendering glasses with shadows is disclosed, including: generating a face image corresponding to an image of a set of images based at least in part on a face model, wherein the set of images is associated with a user's face; generating a face with shadows image corresponding to the image based at least in part on shadows casted by a glasses model on the face model; generating a shadow transform based at least in part on a difference determined based at least in part on the face image and the face with shadows image; generating a shadowed image based at least in part on applying the shadow transform to the image; and presenting the shadowed image including by overlaying a glasses image associated with the glasses model over the shadowed image.

Abstract: A user profile may be generating from a source accordingly to embodiments of the present disclosure. In some embodiments, a process (e.g., implemented by a client) includes obtaining a set of commits associated with a user from a source code version control system, extracting at least one signal from the set of commits, obfuscating the signal(s), and outputting the obfuscated signal(s). In some embodiments, a process (e.g., implemented by a server) includes receiving a signal associated with source code, where the signal is extracted from a commit obtained via a source code version control system. The process further includes aggregating the signal with at least one other signal, generating a user profile based at least on part on the aggregated signals, and rendering the user profile on a graphical user interface.

Abstract: Rendering glasses with shadows is disclosed, including: generating a face image corresponding to an image of a set of images based at least in part on a face model, wherein the set of images is associated with a user's face; generating a face with shadows image corresponding to the image based at least in part on shadows casted by a glasses model on the face model; generating a shadow transform based at least in part on a difference determined based at least in part on the face image and the face with shadows image; generating a shadowed image based at least in part on applying the shadow transform to the image; and presenting the shadowed image including by overlaying a glasses image associated with the glasses model over the shadowed image.

Abstract: Rendering glasses with shadows is disclosed, including: generating a face image corresponding to an image of a set of images based at least in part on a face model, wherein the set of images is associated with a user's face; generating a face with shadows image corresponding to the image based at least in part on shadows casted by a glasses model on the face model; generating a shadow transform based at least in part on a difference determined based at least in part on the face image and the face with shadows image; generating a shadowed image based at least in part on applying the shadow transform to the image; and presenting the shadowed image including by overlaying a glasses image associated with the glasses model over the shadowed image.

Abstract: Processing a set of images is disclosed, including: determining a set of user head measurements from a set of images; and determining a fit score corresponding to a glasses frames based at least in part on comparing the set of user head measurements to glasses frame measurements associated with the glasses frames.

Abstract: Smart image enhancements are disclosed, including: obtaining a representation of a user's face associated with a set of images associated with the user's face; obtaining a set of extrinsic information corresponding to an image of the set of images; determining a modified smoothing map by modifying a model smoothing map to correspond to the representation of the user's face; and determining an enhanced image based at least in part on the set of extrinsic information corresponding to the image, the modified model smoothing map, and the image.

Abstract: Constructing a user's face model using particle filters is disclosed, including: using a first particle filter to generate a new plurality of sets of extrinsic camera information particles corresponding to respective ones of a plurality of images based at least in part on a selected face model particle; selecting a subset of the new plurality of sets of extrinsic camera information particles corresponding to respective ones of the plurality of images; and using a second particle filter to generate a new plurality of face model particles corresponding to the plurality of images based at least in part on the selected subset of the new plurality of sets of extrinsic camera information particles.

Abstract: Rendering glasses with shadows is disclosed, including: generating a face image corresponding to an image of a set of images based at least in part on a face model, wherein the set of images is associated with a user's face; generating a face with shadows image corresponding to the image based at least in part on shadows casted by a glasses model on the face model; generating a shadow transform based at least in part on a difference determined based at least in part on the face image and the face with shadows image; generating a shadowed image based at least in part on applying the shadow transform to the image; and presenting the shadowed image including by overlaying a glasses image associated with the glasses model over the shadowed image.