Date | Time | Place | Paper |
---|---|---|---|
02/15/19 | 3PM | GDC 3.816 |
Chung-Yi Weng, Brian Curless, and Ira Kemelmacher-Shlizerman Photo Wake-Up: 3D Character Animation from a Single Photo, arXiv, 2018 Project website (with demo video) |
* Future meetings subject to rearrangement.
* Please send in suggestions for new papers to discuss, or vote for a paper from the currently proposed papers.
Date | Time | Place | Paper |
---|---|---|---|
02/01/19 | 3PM | GDC 3.816 |
Rui Ma, Akshay Gadi Patil, Matthew Fisher, Manyi Li, Sören Pirk, Binh-Son Hua, Sai-Kit Yeung, Xin Tong, Leonidas Guibas, and Hao Zhang Language-Driven Synthesis of 3D Scenes from Scene Databases, SIGGRAPH Asia, 2018 Project website (with demo video) |
12/11/18 | 11AM | GDC 3.816 |
Manolis Savva, Angel X. Chang, Pat Hanrahan, Matthew Fisher, and Matthias Nießner PiGraphs: Learning Interaction Snapshots from Observations, SIGGRAPH, 2016 Project website (includes demos) |
11/27/18 | 11AM | GDC 3.816 |
Tanmay Gupta, Dustin Schwenk, Ali Farhadi, Derek Hoiem, and Aniruddha Kembhavi Imagine This! Scripts to Compositions to Videos, ECCV, 2018 Project Website (includes videos) |
11/13/18 | 11AM | GDC 3.816 |
Mir Rayat Imtiaz Hossain, and James J. Little Exploiting temporal information for 3D human pose estimation, ECCV, 2018 Project Website (Includes Code and Videos) |
10/30/18 | 11AM | GDC 3.816 |
Xue Bin Peng, Angjoo Kanazawa, Jitendra Malik, Pieter Abbeel, and Sergey Levine SFV: Reinforcement Learning of Physical Skills from Videos, ACM Transactions on Graphics (SIGGRAPH Asia), 2018 Project Website (Includes Videos) |
10/16/18 | 11AM | GDC 3.816 |
Kevin Chen, Christopher B. Choy, Manolis Savva, Angel Chang, Thomas Funkhouser, and Silvio Savarese Text2Shape: Generating Shapes from Natural Language by Learning Joint Embeddings, arXiV, 2018 Project website (Includes videos) |
10/02/18 | 11AM | GDC 3.816 |
Glen Berseth(*), Cheng Xie(*), Paul Cernek, and Michiel van de Panne Note: (*) denotes co-first authorship Progressive Reinforcement Learning with Distillation for Multi-Skilled Motion Control, International Conference on Learning Representations (ICLR), 2018 Project website (Includes videos) |
09/18/18 | 11AM | GDC 3.816 |
Huseyin Coskun, David Joseph Tan, Sailesh Conjeti, Nassir Navab, and Federico Tombari Human Motion Analysis with Deep Metric Learning, ECCV, 2018 |
05/07/18 | 1PM | GDC 3.816 |
Xue Bin Peng, Pieter Abbeel, Sergey Levine, Michiel van de Panne DeepMimic: Example-Guided Deep Reinforcement Learning of Physics-Based Character Skills, ACM Transactions on Graphics, 2018 Project website (Includes videos) |
04/23/18 | 1PM | GDC 3.816 |
Daniel Holden, Taku Komura, and Jun Saito Phase-Functioned Neural Networks for Character Control, ACM Transactions on Graphics (TOG), 2017 Project website (includes videos) |
04/09/18 | 1PM | GDC 3.816 |
Yitong Li, Martin Renqiang Min, Dinghan Shen, David Carlson, and Lawrence Carin Video Generation from Text, Proc. American Association of Artificial Intelligence (AAAI), 2018 |
03/26/18 | 1PM | GDC 3.816 |
Ziyu Wang*, Josh Merel*, Scott Reed, Greg Wayne, Nando de Freitas, Nicolas Heess (* Joint First Authors) Robust Imitation of Diverse Behaviors, NIPS, 2017 Project website (Supplemental material includes videos) |
03/05/18 | 1PM | GDC 3.816 |
Partha Ghosh, Jie Song, Emre Aksan, and Otmar Hilliges Learning Human Motion Models for Long-term Predictions, International Conference on 3D Vision, 2017 (Received Best Paper Award) Project website (Includes videos) |
02/19/18 | 1PM | GDC 3.816 |
Zimo Li, Yi Zhou, Shuangjiu Xiao, Chong He, and Hao Li Auto-Conditioned Recurrent Networks for Extended Complex Human Motion Synthesis, arXiv, 2018 |
02/05/18 | 1PM | GDC 3.816 |
Junyoung Chung, Sungjin Ahn, and Yoshua Bengio Hierarchical Multiscale Recurrent Neural Networks, ICLR, 2017 |
01/22/18 | 1PM | GDC 3.816 |
Xue Bin Peng, Glen Berseth, Kangkang Yin, and Michiel van de Panne DeepLoco: Dynamic Locomotion Skills Using Hierarchical Deep Reinforcement Learning, ACM Transactions on Graphics, 2017 Project website (Includes videos) |
01/10/18 | 11AM | GDC 5.816 |
Julieta Martinez, Michael J. Black, and Javier Romero On human motion prediction using recurrent neural networks, CVPR, 2017 |
12/11/17 | 12PM | GDC 3.816 |
Ikhsanul Habibie, Daniel Holden, Jonathan Schwarz, Joe Yearsley, and Taku Komura A Recurrent Variational Autoencoder for Human Motion Synthesis, British Machine Vision Conference, 2017 |
12/04/17 | 2PM | GDC 5.816 |
Daniel Holden, Jun Saito, and Taku Komura A Deep Learning Framework for Character Motion Synthesis and Editing, SIGGRAPH, 2016 |
11/13/17 | 2PM | GDC 5.816 |
Yang Li, Nan Du, and Sammy Bengio Time-Dependent Representation for Neural Event Sequence Prediction, arXiv |
10/30/17 | 2PM | GDC 5.816 |
Josh Merel, Yuval Tassa, Dhruva TB, Sriram Srinivasan, Jay Lemmon, Ziyu Wang, Greg Wayne, and Nicolas Heess Learning Human Behaviors from Motion Capture by Adversarial Imitation, arXiv |
10/16/17 | 2PM | GDC 5.816 |
Han Zhang, Tao Xu, Hongshen Li, Shaoting Zhang, Xiaogang Wang, Xiaolei Huang, and Dimitris Metaxas StackGAN: Text to Photo-realistic Image Synthesis with Stacked Generative Adversarial Networks, ICCV, 2017 |
10/02/17 | 2PM | GDC 5.816 |
Prajit Ramachandran, Peter J. Liu, and Quoc V. Le Unsupervised Pretraining for Sequence to Sequence Learning, ACL, 2017 |
09/18/17 | 2PM | GDC 5.816 |
Cihan Halit and Tolga Capin Multiscale motion saliency for keyframe extraction from motion capture sequences, Computer Animation and Virtual Worlds Journal, January 2011 |
08/29/17 | 2PM | GDC 5.816 |
Matthias Plappert, Christian Mandery, and Tamim Asfour Learning a bidirectional mapping between human whole-body motion and natural language using deep recurrent neural networks, arXiv, 2017 |
Topic | Suggested Papers |
---|---|
Sequence-to-Sequence |
Hyemin Ahn, Timothy Ha, Yunho Choi, Hwiyeon Yoo, and Songhwai Oh Text2Action: Generative Adversarial Synthesis from Language to Action, arXiv, 2017 |
Shiyu Chang, Yang Zhang, Wei Han, Mo Yu, Xiaoxiao Guo, Wei Tan, Xiaodong Cui, Michael Witbrock, Mark Hasegawa-Johnson, and Thomas S. Huang Dilated Recurrent Neural Networks, NIPS, 2017 |
|
Ruben Villegas, Jimei Yang, Yuliang Zou, Sungryull Sohn, Xunyu Lin, and Honglak Lee Learning to Generate Long-term Future via Hierarchical Prediction, ICML, 2017 |
|
Eli Shlizerman, Lucio Dery, Hayden Schoen, and Ira Kemelmacher-Shlizerman Audio to Body Dynamics, CVPR, 2018 (Spotlight) Project website |
|
Motion Modeling |
Emad Barsoum, John Kender, and Zicheng Liu HP-GAN: Probabilistic 3D human motion prediction via GAN, arXiv, 2017 |
Judith Bütepage, Michael J. Black, Danica Kragic, and Hedvig Kjellström Deep representation learning for human motion prediction and classification, CVPR, 2017 |
|
Andreas Aristidou, Daniel Cohen-Or, Jessica K. Hodgins, Yiorgos Chrysanthou, and Ariel Shamir Deep Motifs and Motion Signatures, SIGGRAPH Asia, 2018 Website (code and demos) |
|
Ruben Villegas, Jimei Yang, Duygu Ceylan, Honglak Lee Neural Kinematic Networks for Unsupervised Motion Retargetting, CVPR, 2018 Website (code and demos) |
|
Xinchen Yan, Akash Rastogi, Ruben Villegas, Kalyan Sunkavalli, Eli Shechtman, Sunil Hadap, Ersin Yumer, and Honglak Lee MT-VAE: Learning Motion Transformations to Generate Multimodal Human Dynamics, ECCV, 2018 Project website (with demo video) |
|
Text-to-Pixels |
Yingwei Pan, Zhaofan Qiu, Ting Yao, Houqiang Li, and Tao Mei To Create What You Tell: Generating Videos from Captions, Proc. ACM on Multimedia Conference, 2017 |
Tiago Ramalho, Tomáš Kociský, Frederic Besse, S. M. Ali Eslami, Gábor Melis, Fabio Viola, Phil Blunsom, and Karl Moritz Hermann Encoding Spatial Relations from Natural Language, arXiV, 2018 |
|
Motion Controller |
Taesoo Kwon and Jessica K. Hodgins Momentum-Mapped Inverted Pendulum Models for Controlling Dynamic Human Motions, ACM Transactions on Graphics, 2017 |
Libin Liu and Jessica K. Hodgins Learning Basketball Dribbling Skills Using Trajectory Optimization and Deep Reinforcement Learning, ACM Transactions on Graphics, 2018 |
|
Wenhao Yu, Greg Turk, and C.Karen Liu Learning Symmetric and Low-energy Locomotion, ACM Transactions on Graphics (SIGGRAPH), 2018 Demo video |
|
Pose-to-CG Character |
Marek Dvorožnák, Wilmot Li, Vladimir G. Kim, and Daniel Sýkora ToonSynth: Example-Based Synthesis of Hand-Colored Cartoon Animations, ACM Transactions on Graphics (SIGGRAPH), 2018 Demo video |
If you find a certain paper interesting and would like to recommend reading, please feel free to let us know during the meeting or e-mail Angela Lin.