Title:	A Synergy of Computer Graphics and Generative AI: Advancements and Challenges
Authors:	Gavrilova, Marina
Citation:	WSCG 2024: full papers proceedings: 32. International Conference in Central Europe on Computer Graphics, Visualization and Computer Vision, p. 1-2.
Issue Date:	2024
Publisher:	Václav Skala - UNION Agency
Document type:	konferenční příspěvek conferenceObject
URI:	http://hdl.handle.net/11025/57371
ISSN:	2464–4625 (online) 2464–4617 (print)
Keywords:	generativní AI;počítačová grafika;hluboké učení;biometrie;digitální člověk;autenticita;tendence;důvěra
Keywords in different language:	generative AI;computer graphics;deep learning;biometrics;digital human;authenticity;bias;trust
Abstract in different language:	A traditional computer graphics domain has received an unprecedented boost from the newest developments in generative Artificial Intelligence (GenAI). It affects all areas: from image generation, to face recognition, to object detection, to aerial surveillance, to autonomous car vision systems. The newest deep learning architectures make it possible to generate new images from texts, to apply styles to portraits, to de-identify facial images, and to recognize human and objects in videos. This keynote will delve into some of the most exciting applications in medical AI diagnostics, human face recognition and aesthetics domains, while making a strong case for resulting image authenticity, bias mitigation, and trust
Rights:	© Václav Skala - UNION Agency
Appears in Collections:	WSCG 2024: Full Papers Proceedings

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