MIG

Motion matching(Büttner and Clavet [2015]; Clavet [2016]) has become a widely adopted technique for generating high-quality interactive animation systems in video games. However, its current implementations suffer from significant computational and ...

Nowadays, Deep Learning-powered generative models are able to generate new synthetic samples nearly indistinguishable from natural data. The development of such systems necessarily involves the design of evaluation protocols to assess their ...

Pose and motion priors are crucial for recovering realistic and accurate human motion from noisy observations. Substantial progress has been made on pose and shape estimation from images, and recent works showed impressive results using priors to ...

Crowd simulation is important for video-games design, since it enables to populate virtual worlds with autonomous avatars that navigate in a human-like manner. Reinforcement learning has shown great potential in simulating virtual crowds, but the ...

Deep learning-based cloth simulation approaches have potential in achieving real-time simulation of complex cloth by directly learning a mapping from control input to resulting cloth movement, bypassing the need for time-consuming dynamic solving and ...

The capacity to capture and broadcast sports events with close to real-time volumetric reconstruction techniques opens exciting perspectives in how audiences can consume and interact with these contents. In this work, we propose the design of an real-...

This study examined the potential of mid-air gestural interfaces specifically designed for children, in the context of full-body motion control for confirmation actions while interacting with large conventional displays. The study aimed to investigate ...

Serious games rely on sensory cues from the system of interest to guide players in performing a specific task. For instance, a serious game used in research and education is interactive molecular docking, where players try to bind a small molecule (...

Interactive shape crafting is an increasingly popular feature in video games, offering players a sense of freedom and personalization. In this work, we propose to combine a stochastic simulation approach to solve the heat equation on Implicit Surface, ...

The virtual sliding joystick input method for touchscreen devices is widely used for games on mobile devices. Existing studies compare virtual joysticks to other input methods, but do not consider potential impacts of large differences in player ...

Facial animation on computationally weak systems is still mostly dependent on linear blendshape models. However, these models suffer from typical artifacts such as loss of volume, self-collisions, or erroneous soft tissue elasticity. In addition, while ...

We present an approach for generating facial animation that combines video and audio input data in real time for low-end devices through deep learning. Our method produces control signals from audiovisual inputs separately, and mixes them to animate a ...

Speech-driven 3D facial animation synthesis has been a challenging task both in industry and research. Recent methods mostly focus on deterministic deep learning methods meaning that given a speech input, the output is always the same. However, in ...

The automated generation of 3D human heads has been an intriguing and challenging task for computer vision researchers. Prevailing methods synthesize realistic avatars but with limited control over the diversity and quality of rendered outputs and ...

Humanoid characters in video games are generally animated using motion capture technology, enabling high-quality, realistic animation. This animation has to remain interactive and allow characters to react to their environment; one important component ...

With a spread of inexpensive and easy-to-use motion tracking methods such as cameras and trackers for virtual realities (VRs), real-time motion-tracked avatars are becoming increasingly common in virtual environments, particularly social VRs, virtual ...

Eye movement plays an important role in face-to-face communication. In this work, we present a deep learning approach for synthesizing the eye movements of avatars for two-party conversations and evaluate viewer perception of different types of eye ...

This work presents four possible designs for the handshake interaction in a Social VR-like virtual environment in which the user operates using hand-held controllers: a first design based on a graphics user interface (GUI), a second design leveraging a ...

Virtual reality (VR) has emerged as a promising technology for remote teamwork; it allows individuals to collaborate in real-time via virtual avatars that convey body language and other nonverbal cues not available via traditional communication ...

Character animation is a critical component of games and interactive applications. Recent data-driven methods rely on motion capture to generate high-quality real-time locomotion models for movement such as walking or running. However, these methods do ...

The Extended Position Based Dynamics (XPBD) approach of Macklin et al. [2016] addresses the issues with iteration-dependent behavior in the original Position Based Dynamics [2007] (PBD) which itself is a powerful method for the real-time simulation of ...

Technologies play an increasingly important role in sports and become a real competitive advantage for the athletes who benefit from it. Among them, the use of motion capture is developing in various sports to optimize sporting gestures. Unfortunately, ...

Our goal is to simulate how humans recover balance after external perturbation, e.g., being pushed. While different strategies can be adopted to achieve balance recovery, we particularly aim at replicating how humans combine the control of their support ...

We introduce a motion retargeting framework capable of animating characters with distinct skeletal structures using video data. While prior studies have successfully performed motion retargeting between skeletons with different structures, retargeting ...

Safely navigating environments with obstacles that move stochastically cannot be guaranteed by automation, due to the motion planning becoming computationally intractable. One way to improve safety is to add a defensive escort agent that can clear ...