SurveyLegend is the next generation of online surveys — engaging, platform-independent, & beautiful. We empower companies - large & small - & individuals, to create mobile-friendly, gorgeous surveys.
Create great-looking surveys, forms, polls, voting, questionnaires, NPS, customer satisfaction, customer experience, employee satisfaction surveys... on your computer or tablet, customize the look of your survey however you like, & display collected data with eye-catching and insightful graphics.
Creating questionnaires is done simply by drag & drop, & you don't need to be a market research expert to use our tool.
It has never been this easy to listen to customer demand, measure customer or employee satisfaction, manage client experience, or maintaining student & employee engagement.
SurveyLegend has users all over the world, from amazing companies like L'Oréal, Universal, Harvard, Greenpeace, Airbnb, Sony, CocaCola, Roche, to awesome start-up companies and individuals.
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SPEC Innovations’ flagship model-based systems engineering solution can help your team reduce time-to-market, cost, and risk on even some of the most complex systems. This cloud or on-premise application uses a modern web browser, with an intuitive graphical user interface.
Innoslate’s full lifecycle capabilities include:
• Requirements Management
• Documents Management
• Modeling
• Discrete Event Simulator
• Monte Carlo Simulator
• DoDAF Models and Views
• Database Management
• Test Management with full reports, status updates, results, and more.
• Real Time Collaboration
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RODIN
This 3D avatar diffusion model is an AI system that automatically produces highly detailed 3D digital avatars. The generated avatars can be freely viewed in 360 degrees with unprecedented quality. The model significantly accelerates traditionally sophisticated 3D modeling process and opens new opportunities for 3D artists. This 3D avatar diffusion model is trained to generate 3D digital avatars represented as neural radiance fields. We build on the state-of-the-art generative technique (diffusion models) for 3D modeling. We use tri-plane representation to factorize the neural radiance field of avatars, which can be explicitly modeled by diffusion models and rendered to images via volumetric rendering. The proposed 3D-aware convolution brings the much-needed computational efficiency while preserving the integrity of diffusion modeling in 3D. The whole generation is a hierarchical process with cascaded diffusion models for multi-scale modeling.
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