AI Verse
Lorraine Desserre has a diverse work experience spanning several companies. Lorraine is currently working at AI Verse as a Character Technical Director and Rigger since June 2022. Prior to that, they worked at EISKO from November 2019 to May 2022, where they held multiple roles including Rigging TD, Developer, and Team Manager. At EISKO, they specialized in rigging automation tools development, exports compatibility, and expertise and support in motion capture for various animation platforms. Before joining EISKO, they briefly worked as a 3D Rigger at Brunch Studio from August 2019 to October 2019. Lorraine also has experience as a Technical Artist Intern at Rollickin' where they worked on cloth simulation, props rigging, and facial blendshapes modelling. Lorraine has also completed internships at Compagnie Zapoï, Atos, and Denis Assor, where they gained experience in pre-production, corporate video production, and 3D generalist roles respectively.
Lorraine Desserre has a strong background in animation, interactive technology, videography, and special effects. Lorraine completed their Bachelor's degree in Animation, Interactive Technology, Videography, and Special Effects at Rubika from 2016 to 2019. Prior to that, they studied at RMIT University from 2015 to 2016 and obtained a Bachelor's degree in the same field. Lorraine also completed a Bachelor's degree at ICAN from 2013 to 2016. In 2012, Lorraine completed a Mise À Niveau en Arts Appliqués at Autograf-école de Design et d'Arts Appliqués, where they studied Fine Arts and Plastics. In the same year, they obtained a Scientific Baccalaureate from Lycée Alain.
In terms of additional certifications, Lorraine obtained a digital director certification from Rubika in March 2020. In March 2017, they obtained a Bachelor Design 3D and Animation certification from the Institut de Création et d'Animation Numériques. Furthermore, they achieved a Test Of English for International Communication (TOEIC) score of 975 in September 2016.
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AI Verse
AI Verse offers a self-service image factory that produces high-quality annotated synthetic datasets for the needs of computer vision engineers. An entirely novel process enables the user to describe their ideal dataset and launch its generation on AI Verse’s render farm, a scalable cloud-hosted cluster of GPU machines, each able to procedurallybuild a 3D scene and render photorealistic images in a few seconds.The dataset builder offers simple but powerful inputs for scene description, lighting and camera placement, emulating the work of a 3D artist in just a few clicks. The user specifies a desired type of environment (e.g. living room, bedroom, office) and chooses object classes of interest from a catalog of 1000+ assets in ongoing expansion. These inputs are enough to procedurally generate any desired number of 3D scenes, respecting user-defined constraints while offering the variations in appearance and content necessary to AI robustness on tasks such as object detection and semantic segmentation. The user can also specify activities to be performed by human agents in the scenes, ranging from simple postures to leisure or work-related activities (e.g. typing on a keyboard, watching TV).A wide range of lighting scenarios can be applied in order to simulate varying weather and time of the day. The placement of the camera is also randomized according to simple and effective constraints that can be defined according to the engineer’s use case. Sensor parameters (e.g lens parameters, depth-of-field, exposure) can also be adjusted.The process of setting and adjusting the scene and image parameters is made interactive and engaging through the use of live previews, allowing the user to visualize within a few seconds an image rendered on-the-fly on one of our GPU machines, corresponding to the input parameters. Availability of GPU machines for previews is guaranteed though a session-booking system.Once satisfied with their inputs, the user can launch the generation of any desired number of 3D scenes and images captured from those scenes, along with their choice of automatically generated labels (e.g. object 2D/3D boxes, instance masks, depth image). Parallelized rendering on the cloud enables delivery of thousands of images in just a couple hours. The dataset management UI enables the engineer to track progress on any of their dataset orders, and visualize a sample of images from a given dataset as soon as it is available. Once the dataset is completed, the user can download it from the cloud by generating an expiring link whenever needed, which enhances data privacy. The downloadable dataset is presented in a format that makes it ready for AI training and easy to combine with other datasets.