Technical Papers – Page 23 – ACM SIGGRAPH HISTORY ARCHIVES

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“Thin-film smoothed particle hydrodynamics fluid” by Wang, Deng, Kong, Prasad, Xiong, et al. …

“A momentum-conserving implicit material point method for surface tension with contact angles and spatial gradients” by Chen, Kala, Marquez-Razon, Gueidon, Hyde, et al. …

“Constrained willmore surfaces” by Soliman, Chern, Diamanti, Knöppel, Pinkall, et al. …

“Unified particle system for multiple-fluid flow and porous material” by Ren, Xu and Li

“Interactive modelling of volumetric musculoskeletal anatomy” by Abdrashitov, Bang, Levin, Singh and Jacobson

“Computational design of weingarten surfaces” by Pellis, Kilian, Pottmann and Pauly

“TryOnGAN: body-aware try-on via layered interpolation” by Lewis, Varadharajan and Kemelmacher-Shlizerman

“Computing minimal surfaces with differential forms” by Wang and Chern

“AgileGAN: stylizing portraits by inversion-consistent transfer learning” by Song, Luo, Liu, Ma, Lai, et al. …

“StyleCariGAN: caricature generation via StyleGAN feature map modulation” by Jang, Ju, Jung, Yang, Tong, et al. …

“A unified second-order accurate in time MPM formulation for simulating viscoelastic liquids with phase change” by Su, Xue, Han, Jiang and Aanjaneya

“ManipNet: neural manipulation synthesis with a hand-object spatial representation” by Zhang, Ye, Shiratori and Komura

“Solid-fluid interaction with surface-tension-dominant contact” by Ruan, Liu, Zhu, Sueda, Wang, et al. …

“Free-form scanning of non-planar appearance with neural trace photography” by Ma, Kang, Zhu, Wu and Zhou

“Highlight-aware two-stream network for single-image SVBRDF acquisition” by Guo, Lai, Tao, Cai, Wang, et al. …

“The design space of plane elastic curves” by Hafner and Bickel

“3D weaving with curved ribbons” by Ren, Panetta, Chen, Isvoranu, Poincloux, et al. …

“The effect of shape and illumination on material perception: model and applications” by Serrano, Chen, Wang, Piovarči, Seidel, et al. …

“WireRoom: model-guided explorative design of abstract wire art” by Yang, Xu, Fu and Huang

“Learning active quasistatic physics-based models from data” by Srinivasan, Wang, Rojas, Klár, Kavan, et al. …

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