Matches in SemOpenAlex for { <https://semopenalex.org/work/W3217128431> ?p ?o ?g. }
- W3217128431 endingPage "157" @default.
- W3217128431 startingPage "122" @default.
- W3217128431 abstract "Abstract Human character animation is often critical in entertainment content production, including video games, virtual reality or fiction films. To this end, deep neural networks drive most recent advances through deep learning (DL) and deep reinforcement learning (DRL). In this article, we propose a comprehensive survey on the state‐of‐the‐art approaches based on either DL or DRL in skeleton‐based human character animation. First, we introduce motion data representations, most common human motion datasets and how basic deep models can be enhanced to foster learning of spatial and temporal patterns in motion data. Second, we cover state‐of‐the‐art approaches divided into three large families of applications in human animation pipelines: motion synthesis, character control and motion editing. Finally, we discuss the limitations of the current state‐of‐the‐art methods based on DL and/or DRL in skeletal human character animation and possible directions of future research to alleviate current limitations and meet animators' needs." @default.
- W3217128431 created "2021-12-06" @default.
- W3217128431 creator A5004339927 @default.
- W3217128431 creator A5018513384 @default.
- W3217128431 creator A5032618673 @default.
- W3217128431 creator A5041269156 @default.
- W3217128431 creator A5069180466 @default.
- W3217128431 date "2021-11-21" @default.
- W3217128431 modified "2023-10-11" @default.
- W3217128431 title "A Survey on Deep Learning for Skeleton‐Based Human Animation" @default.
- W3217128431 cites W1735317348 @default.
- W3217128431 cites W1967554269 @default.
- W3217128431 cites W1977259876 @default.
- W3217128431 cites W2007041320 @default.
- W3217128431 cites W2033655806 @default.
- W3217128431 cites W2049077434 @default.
- W3217128431 cites W2054746277 @default.
- W3217128431 cites W2086509056 @default.
- W3217128431 cites W2101032778 @default.
- W3217128431 cites W2101491865 @default.
- W3217128431 cites W2110139691 @default.
- W3217128431 cites W2115096495 @default.
- W3217128431 cites W2116064496 @default.
- W3217128431 cites W2121113403 @default.
- W3217128431 cites W2137267908 @default.
- W3217128431 cites W2144231991 @default.
- W3217128431 cites W2158164339 @default.
- W3217128431 cites W2161759480 @default.
- W3217128431 cites W2184380209 @default.
- W3217128431 cites W2293431122 @default.
- W3217128431 cites W2294696353 @default.
- W3217128431 cites W2295871700 @default.
- W3217128431 cites W2296629652 @default.
- W3217128431 cites W2460299708 @default.
- W3217128431 cites W2469134594 @default.
- W3217128431 cites W2475287302 @default.
- W3217128431 cites W2558748708 @default.
- W3217128431 cites W2594167370 @default.
- W3217128431 cites W2606517404 @default.
- W3217128431 cites W2607626373 @default.
- W3217128431 cites W2611706523 @default.
- W3217128431 cites W2613802285 @default.
- W3217128431 cites W2639698109 @default.
- W3217128431 cites W2739330054 @default.
- W3217128431 cites W2746449455 @default.
- W3217128431 cites W2796290181 @default.
- W3217128431 cites W2801567109 @default.
- W3217128431 cites W2810695956 @default.
- W3217128431 cites W2811063752 @default.
- W3217128431 cites W2811107675 @default.
- W3217128431 cites W2811441028 @default.
- W3217128431 cites W2887738788 @default.
- W3217128431 cites W2889730849 @default.
- W3217128431 cites W2894766094 @default.
- W3217128431 cites W2894846593 @default.
- W3217128431 cites W2895748257 @default.
- W3217128431 cites W2896588340 @default.
- W3217128431 cites W2898109996 @default.
- W3217128431 cites W2899718839 @default.
- W3217128431 cites W2902149428 @default.
- W3217128431 cites W2902757548 @default.
- W3217128431 cites W2902791462 @default.
- W3217128431 cites W2934947903 @default.
- W3217128431 cites W2942634077 @default.
- W3217128431 cites W2944006115 @default.
- W3217128431 cites W2944314833 @default.
- W3217128431 cites W2949924544 @default.
- W3217128431 cites W2958043083 @default.
- W3217128431 cites W2962793481 @default.
- W3217128431 cites W2963059228 @default.
- W3217128431 cites W2963065614 @default.
- W3217128431 cites W2963158576 @default.
- W3217128431 cites W2963165299 @default.
- W3217128431 cites W2963202339 @default.
- W3217128431 cites W2963324990 @default.
- W3217128431 cites W2963499233 @default.
- W3217128431 cites W2963548793 @default.
- W3217128431 cites W2964134613 @default.
- W3217128431 cites W2964203186 @default.
- W3217128431 cites W2964934456 @default.
- W3217128431 cites W2965742099 @default.
- W3217128431 cites W2971625077 @default.
- W3217128431 cites W2971856312 @default.
- W3217128431 cites W2978927732 @default.
- W3217128431 cites W2979930345 @default.
- W3217128431 cites W2981479926 @default.
- W3217128431 cites W2981621123 @default.
- W3217128431 cites W2981966829 @default.
- W3217128431 cites W2982219281 @default.
- W3217128431 cites W2982573856 @default.
- W3217128431 cites W2983796203 @default.
- W3217128431 cites W2983925976 @default.
- W3217128431 cites W2984106353 @default.
- W3217128431 cites W2984579799 @default.
- W3217128431 cites W2984629177 @default.
- W3217128431 cites W2986708244 @default.
- W3217128431 cites W2987886924 @default.
- W3217128431 cites W2993797559 @default.