eprintid: 10081678 rev_number: 18 eprint_status: archive userid: 608 dir: disk0/10/08/16/78 datestamp: 2019-09-24 13:26:57 lastmod: 2021-11-23 23:30:00 status_changed: 2019-09-24 13:26:57 type: proceedings_section metadata_visibility: show creators_name: Mitra, NJ creators_name: Kokkinos, I creators_name: Guerrero, P creators_name: Thuerey, N creators_name: Kim, V creators_name: Guibas, L title: CreativeAI: Deep learning for graphics SIGGRAPH 2019 ispublished: pub divisions: UCL divisions: B04 divisions: C05 divisions: F48 divisions: C04 divisions: F34 note: This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions. abstract: In computer graphics, many traditional problems are now better handled by deep-learning based data-driven methods. In applications that operate on regular 2D domains, like image processing and computational photography, deep networks are state-of-the-art, often beating dedicated hand-crafted methods by significant margins. More recently, other domains such as geometry processing, animation, video processing, and physical simulations have benefited from deep learning methods as well, often requiring application-specific learning architectures. The massive volume of research that has emerged in just a few years is often difficult to grasp for researchers new to this area. This course gives an organized overview of core theory, practice, and graphics-related applications of deep learning. date: 2019-07-28 date_type: published publisher: ACM official_url: https://doi.org/10.1145/3305366.3328059 oa_status: green full_text_type: other language: eng primo: open primo_central: open_green verified: verified_manual elements_id: 1693171 doi: 10.1145/3305366.3328059 isbn_13: 9781450363075 lyricists_name: Guerrero, Paul lyricists_name: Kokkinos, Iason lyricists_name: Mitra, Niloy lyricists_id: PGUER96 lyricists_id: IKOKK25 lyricists_id: NMITR19 actors_name: Mitra, Niloy actors_id: NMITR19 actors_role: owner full_text_status: public publication: ACM SIGGRAPH 2019 Courses, SIGGRAPH 2019 place_of_pub: Los Angeles, California event_title: SIGGRAPH '19 ACM book_title: Proceeding SIGGRAPH '19 ACM citation: Mitra, NJ; Kokkinos, I; Guerrero, P; Thuerey, N; Kim, V; Guibas, L; (2019) CreativeAI: Deep learning for graphics SIGGRAPH 2019. In: Proceeding SIGGRAPH '19 ACM. ACM: Los Angeles, California. Green open access document_url: https://discovery.ucl.ac.uk/id/eprint/10081678/1/part1_introduction_niloy.pdf