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Colossyan is at the forefront of generative AI, pioneering solutions to some of the most challenging problems in synthetic media and human behavior understanding.
Our team has been working on AI avatar technology since 2018, as Colossyan was born out of CEO Dominik Mate Kovacs’ previous experience founding a deepfake detection service called Defudger. It was this experience that inspired Kovacs to explore ways this technology could be used for good.
Our mission is to push the boundaries of what's possible in creating photo-realistic human avatars, facilitating effortless video creation for training and learning, and capturing the nuances of human performance and emotion.
We are dedicated to developing cutting-edge techniques for generating photo-realistic human avatars.
Our avatars are indistinguishable from real humans, capturing every subtle nuance and movement to create a seamless and immersive experience. By advancing neural video synthesis, we aim to cross the "uncanny valley" and bring truly lifelike avatars to life.
Understanding human behavior is crucial for creating realistic and relatable synthetic media. We tackle challenging problems in human behavior understanding, focusing on human performance capture and animation.
Our multimodal neural networks analyze and replicate human actions, allowing us to generate realistic animations that mimic real-life performances.
Capturing human performance from multiple viewpoints presents unique challenges. We are working on innovative solutions for better performance capture, utilizing high-end multi-view capture studio setups.
Our goal is to create comprehensive datasets that enable accurate and detailed performance capture, laying the foundation for more sophisticated and realistic synthetic media.
Emotional engagement is key to creating compelling content. We are working on understanding human emotions and translating them into our avatars.
By producing avatars that can express a wide range of emotions and performances, we aim to enhance the impact and engagement of the content created, making interactions more meaningful and relatable.
Our research is driven by a commitment to achieve the highest levels of photo-realistic rendering. We develop advanced algorithms and techniques to produce high-fidelity outputs that are visually stunning and true to life.By pushing the boundaries of rendering technology, we strive to set new standards in visual realism.
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Capturing human performance from multiple viewpoints presents unique challenges. We are working on innovative solutions for better performance capture, utilizing high-end multi-view capture studio setups.
Our goal is to create comprehensive datasets. That enable accurate and detailed performance capture, laying the foundation for more sophisticated and realistic synthetic media.
We continue to collect. And rely on a large corpus of in-house performance data to train our models effectively.
This extensive dataset allows us to understand. And replicate human behaviors in novel situations. By continuously expanding and refining our dataset, we ensure our models remain at the cutting edge of generative AI.
Transform the way you educate with Colossyan. Create immersive, interactive e-learning courses in moments and seamlessly integrate them as SCORM files into your preferred LMS. As a deep tech company, we continue to invest in a separate research department, allowing technical research breakthroughs to inform our product development.
At Colossyan, we are solving challenges that will lay the foundation for a future where Creators have unprecedented control over their productions.
Imagine a world where you can direct scenes with human interactions and conversations, all generated by AI, to create immersive learning experiences. Our research is paving the way for this future, enabling creators to bring their visions to life with simplicity and precision.
Join us on this exciting journey as we redefine the possibilities of generative AI and synthetic media. Together, we can create a future where the only limit is your imagination.
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