Shared August 10, 2018
This is the third installment of the 3DeepLearner 2018 SIGGRAPH Series where I cover the most interesting deep learning papers (according to our audience) in a short video format.
This video covers DeepMimic: Example-Guided Deep Reinforcement Learning of Physics-Based Character Skills by Peng et al.
Link to the paper: https://xbpeng.github.io/projects/Dee...
Links mentioned in the video:
51" Previous video on the MANN model - https://www.youtube.com/watch?v=55MBK...
7'33" Simplified sample implementation in Maya - https://3deeplearner.com/teaching-a-b...
SIGGRAPH 2018: DeepMimic paper (main video)
Advances In Real-Time Voxel-Based GI
David Brodeur @ SIGGRAPH 2019 | Maxon Cinema 4D
Ubisoft like IK Rig implementation for Machine Learning
Autoencoders - Denoise and Compress Data
SIGGRAPH Asia 2018: Skills from Videos paper (main video)
Simulating an epidemic
Designing a 4D World: The Technology behind Miegakure [Hide&Reveal]
[SIGGRAPH 2018] Toward Wave-based Sound Synthesis for Computer Animation
For the Love of Physics - Walter Lewin - May 16, 2011
Fusion4D: Real-time Performance Capture of Challenging Scenes
Reinforcement Learning for Engineers, Part 4: The Walking Robot Problem
Unreal Engine User Group at SIGGRAPH 2019
This virtual stuntman could improve video game physics
SIGGRAPH 2018: DeepMimic paper (supplementary video)
Substance day at SIGGRAPH: Keynote and Substance Alchemist demo
SIGGRAPH 2018: Fluid Directed Rigid Body Control using Deep Reinforcement Learning
Technical Papers Preview: SIGGRAPH 2019
Learning Body Shape Variation in Physics-based Characters (SIGGRAPH Asia 2019)