deep learning – ACM SIGGRAPH HISTORY ARCHIVES

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“Instant Neural Radiance Fields” by Müller, Evans, Deutsch, Bodis-Szomoru, Shelley, et al. …

“AI and Physics Assisted Character Pose Authoring (c) 2022 Unity Technologies” by Bocquelet, Oreshkin, Laflamme, Harvey, Ménard, et al. …

“The Champion : Neural Render Case Study” by Seymour, Li, li and Graham

“Deep Learning for Action Recognition in Augmented Reality Assistance Systems” by Schröder and Ritter

“DeepFocus: Learned Image Synthesis for Computational Display”

“PoPGAN: Points to Plant Translation with Generative Adversarial Network” by Yamashita, Akita and Morimoto

“Stylizing Volumes with Neural Networks” by Navarro and Rice

“Future of Artificial Intelligence and Deep Learning tools for VFX” Moderated by

“Depth Assisted Full Resolution Network for Single Image-based View Synthesis” by Cun, Xu, Pun and Gao

“Display Methods of Projection Augmented Reality based on Deep Learning Pose Estimation” by Ro, Byun, Park and Han

“Deep-ChildAR bot: Educational Activities and Safety Care Augmented Reality system with Deep-learning for Preschool” by Park, Ro and Han

“Fully Automatic Colorization for Anime Character Considering Accurate Eye Colors” by Akita, Morimoto and Tsuruno

“HeroMirror Interactive: A Gesture Controlled Augmented Reality Gaming Experience” by Matuszka, Czuczor and Sóstai

“OceanGAN: A Deep Learning Alternative to Physics-Based Ocean Rendering” by Ratto, Szeto, Slocum and Del Bene

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