Our research study focuses on exploring how 3D-students view AI image generation tools usefullness as concept images in 3D production. We conducted interviews with five 3D students to gain insight into how useful they find AI-generated images in 3D production. By collecting information through interview method, participants' responses were analyzed using thematic analysis. Their responses were combined with existing theories in concept art, disruptive technologies, and sparing technologies. Our main findings show that students found images made by using AI can be used as inspiration images and moodboards but have difficulty being used for anything else in a 3D production, as AI was poor at reproducing the same object multiple times. The same object couldn't be obtained from multiple angles which limits usability. However the 3D-students think there is potential in using the images as a foundation that is then further developed by a human. / Vår forskningsstudie fokuserar på att utforska hur 3D-studenter ser på användbarheten av AI-bildgenereringsverktyg som konceptbilder i 3D-produktion. Vi genomförde intervjuer med fem 3D-studenter för att få insikt i hur användbara de tycker att AI-genererade bilder är i 3D-produktion. Genom att samla in information genom intervjuer analyserades deltagarnas svar med tematisk analys. Deras svar kombinerades med befintliga teorier inom konstkoncept, störande teknologier och sparsamma teknologier. Våra huvudsakliga resultat visar att studenterna fann att bilder skapade med AI kan användas som inspirationsbilder och moodboards men har svårigheter att användas för något annat i 3D-produktion, eftersom AI hade svårt att reproducera samma objekt flera gånger. Samma objekt kunde inte erhållas från olika vinklar vilket begränsar användbarheten. Dock tror 3D-studenterna att det finns potential att använda bilderna som en grund som sedan utvecklas ytterligare av en människa.

Despite the importance of hair for characters in games, the process for creating realistic looking real-time hair is a highly difficult task that can only be performed by a few artists. As the industry is growing so does expectations of games graphics and the need for higher fidelity hairstyles. This paper sets out to explain current modeling techniques for hairstyling, and presents an alternate way for styling haircard models using curve deformers. Our Blende radd-on, based on this method is then previewed by industry professionals to evaluate their perception of the method’s effectiveness based on “control”, “time” and “preference”. Our conclusion is that per wisp curve based controls are easily learnt, relatively quick to use and gives adequate control over each haircard. The method therefore shows promise instream lining artists’ production pipelines. This test serves as a pilot for further exploration of curve based tools for production of real-time hair.