Technical Papers – Page 53 – ACM SIGGRAPH HISTORY ARCHIVES

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“Efficiency-aware multiple importance sampling for bidirectional rendering algorithms” by Grittmann, Yazici, Georgiev and Slusallek

“DEF: deep estimation of sharp geometric features in 3D shapes” by Matveev, Rakhimov, Artemov, Bobrovskikh, Egiazarian, et al. …

“Spelunking the deep: guaranteed queries on general neural implicit surfaces via range analysis” by Sharp and Jacobson

“SPAGHETTI: editing implicit shapes through part aware generation” by Hertz, Perel, Giryes, Sorkine-Hornung and Cohen-Or

“DeltaConv: anisotropic operators for geometric deep learning on point clouds” by Wiersma, Nasikun, Eisemann and Hildebrandt

“Neural dual contouring” by Chen, Tagliasacchi, Funkhouser and Zhang

“Dual octree graph networks for learning adaptive volumetric shape representations” by Wang, Liu and Tong

“Instant neural graphics primitives with a multiresolution hash encoding” by Müller, Evans, Schied and Keller

“Neural rendering in a room: amodal 3D understanding and free-viewpoint rendering for the closed scene composed of pre-captured objects” by Yang, Zhang, Li, Cui, Fanello, et al. …

“Egocentric scene reconstruction from an omnidirectional video” by Jang, Meuleman, Kang, Kim, Richardt, et al. …

“ADOP: approximate differentiable one-pixel point rendering” by Rückert, Franke and Stamminger

“Learning high-DOF reaching-and-grasping via dynamic representation of gripper-object interaction” by She, Hu, Xu, Liu, Xu, et al. …

“Scalable neural indoor scene rendering” by Wu, Xu, Zhu, Bao, Huang, et al. …

“Physics-based character controllers using conditional VAEs” by Won, Gopinath and Hodgins

“Learning to use chopsticks in diverse gripping styles” by Yang, Yin and Liu

“NeuralSound: learning-based modal sound synthesis with acoustic transfer” by Jin, Li, Wang and Manocha

“NIMBLE: a non-rigid hand model with bones and muscles” by Li, Zhang, Qiu, Jiang, Li, et al. …

“Physics informed neural fields for smoke reconstruction with sparse data” by Chu, Liu, Zheng, Frankz, Seidel, et al. …

“The power particle-in-cell method” by Qu, Li, Goes and Jiang

“Guided bubbles and wet foam for realistic whitewater simulation” by Wretborn, Flynn and Stomakhin

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