267 citations · 377 across the 12 of their papers we have counts for
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cs.CV2021★ 2 cited
DynaDog+T: A Parametric Animal Model for Synthetic Canine Image Generation
Jake Deane, Sinead Kearney, Kwang In Kim +1
Synthetic data is becoming increasingly common for training computer vision models for a variety of tasks. Notably, such data has been applied in tasks related to humans such as 3D…
cs.GR2021★ 2 cited
EmoGen: Quantifiable Emotion Generation and Analysis for Experimental Psychology
Nadejda Roubtsova, Martin Parsons, Nicola Binetti +3
3D facial modelling and animation in computer vision and graphics traditionally require either digital artist's skill or complex pipelines with objective-function-based solvers to…