[HTML][HTML] Metaverse: Perspectives from graphics, interactions and visualization
The metaverse is a visual world that blends the physical world and digital world. At present,
the development of the metaverse is still in the early stage, and there lacks a framework for …
the development of the metaverse is still in the early stage, and there lacks a framework for …
Deeploco: Dynamic locomotion skills using hierarchical deep reinforcement learning
Learning physics-based locomotion skills is a difficult problem, leading to solutions that
typically exploit prior knowledge of various forms. In this paper we aim to learn a variety of …
typically exploit prior knowledge of various forms. In this paper we aim to learn a variety of …
Search on the replay buffer: Bridging planning and reinforcement learning
B Eysenbach, RR Salakhutdinov… - Advances in neural …, 2019 - proceedings.neurips.cc
The history of learning for control has been an exciting back and forth between two broad
classes of algorithms: planning and reinforcement learning. Planning algorithms effectively …
classes of algorithms: planning and reinforcement learning. Planning algorithms effectively …
Mode-adaptive neural networks for quadruped motion control
Quadruped motion includes a wide variation of gaits such as walk, pace, trot and canter, and
actions such as jumping, sitting, turning and idling. Applying existing data-driven character …
actions such as jumping, sitting, turning and idling. Applying existing data-driven character …
Phase-functioned neural networks for character control
We present a real-time character control mechanism using a novel neural network
architecture called a Phase-Functioned Neural Network. In this network structure, the …
architecture called a Phase-Functioned Neural Network. In this network structure, the …
[图书][B] Planning algorithms
SM LaValle - 2006 - books.google.com
Planning algorithms are impacting technical disciplines and industries around the world,
including robotics, computer-aided design, manufacturing, computer graphics, aerospace …
including robotics, computer-aided design, manufacturing, computer graphics, aerospace …
[图书][B] Crowd simulation
D Thalmann, SR Musse - 2012 - books.google.com
Research into the methods and techniques used in simulating crowds has developed
extensively within the last few years, particularly in the areas of video games and film …
extensively within the last few years, particularly in the areas of video games and film …
A robot path planning framework that learns from experience
D Berenson, P Abbeel… - 2012 IEEE International …, 2012 - ieeexplore.ieee.org
We propose a framework, called Lightning, for planning paths in high-dimensional spaces
that is able to learn from experience, with the aim of reducing computation time. This …
that is able to learn from experience, with the aim of reducing computation time. This …
Motion graphs++ a compact generative model for semantic motion analysis and synthesis
J Min, J Chai - ACM Transactions on Graphics (TOG), 2012 - dl.acm.org
This paper introduces a new generative statistical model that allows for human motion
analysis and synthesis at both semantic and kinematic levels. Our key idea is to decouple …
analysis and synthesis at both semantic and kinematic levels. Our key idea is to decouple …
Construction and optimal search of interpolated motion graphs
A Safonova, JK Hodgins - ACM SIGGRAPH 2007 papers, 2007 - dl.acm.org
Many compelling applications would become feasible if novice users had the ability to
synthesize high quality human motion based only on a simple sketch and a few easily …
synthesize high quality human motion based only on a simple sketch and a few easily …