WebGoogle Scholar; Daniel Holden, Taku Komura, and Jun Saito. 2024. Phase-functioned Neural Networks for Character Control. ACM Trans. Graph. 36, 4, Article 42 (July 2024), 13 pages. Google Scholar Digital Library; Daniel Holden, Jun Saito, and Taku Komura. 2016. A Deep Learning Framework for Character Motion Synthesis and Editing. Web22 giu 2024 · Mingyi Shi, Kfir Aberman, Andreas Aristidou, Taku Komura, Dani Lischinski, Daniel Cohen-Or, Baoquan Chen. We introduce MotioNet, a deep neural network that …
Taku Komura delivers key note speech at CVMP 2024 InfWeb
Web13 feb 2024 · Pengpeng Hu, Edmond SL Ho, Nauman Aslam, Taku Komura, and Hubert PH Shum. Textile Research Journal 2024 89: 19-20, 4148-4161 Download Citation. ... Google Scholar. 16. Yu, M, Wang, Y, Wang, Y, et al. Correlation between clothing air gap space and fabric mechanical properties. Web1 gen 2024 · Google Scholar; Daniel Holden, Taku Komura, and Jun Saito. Phase-Functioned Neural Networks for Character Control. ACM Transactions on Graphics (TOG), 36(4):42, 2024. Google Scholar; Nick Holford. Pharmacodynamic Principles and the Time Course of Delayed and Cumulative Drug Effects. film landgericht
Record, Review, Edit, Apply: A Motion Data Pipeline for Virtual …
Web27. i10-index. 107. 68. Taku Komura. The University of Hong Kong. Verified email at ed.ac.uk - Homepage. Character Animation Computer Graphics Robotics. Web20 giu 2024 · We present a novel neural surface reconstruction method, called NeuS, for reconstructing objects and scenes with high fidelity from 2D image inputs. Existing neural surface reconstruction approaches, such as DVR and IDR, require foreground mask as supervision, easily get trapped in local minima, and therefore struggle with the … WebXiubo Liang, Ludovic Hoyet, Weidong Geng, and Franck Multon. 2010. Responsive Action Generation by Physically-Based Motion Retrieval and Adaptation. In Motion in Games, Ronan Boulic, Yiorgos Chrysanthou, and Taku Komura(Eds.). Springer Berlin Heidelberg, Berlin, Heidelberg, 313–324. Google Scholar filmland classics